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UW-Madison SSEC Lidar Wind Profiler for WiscoDISCO 21
<p>Data from a doppler lidar wind profiler at the Chiwaukee Prairie, WI air monitoring site. There are two datastreams: chiwaukee_wind_profiles_YYYYMMDD.cdf and chiwaukee_stare_YYYYMMDD.cdf due to the way the data are collected. The lidar was programmed to carry out a vertical wind profile every 5 mins. In between, the lidar is staring vertically in zenith-pointing mode. Therefore, there are two separate temporal resolutions. The wind_profiles files contain wind speed, wind direction, vertical velocity, and signal-to-noise ratio. The data were thresholded at SNR == 0.008 during the processing, so that worse SNRs than that are not included. The stare files contain data on backscatter, vertical velocity, and intensity, with better representation of the vertical coordinate. </p> <p>Vertical velocity is given in each of the two datastreams. There are two ways to get at the vertical velocity: one, as a direct measurement of the along-beam doppler velocity when it is in zenith mode, and two, as the residual in the calculation of the horizontal wind vector from the non-zenith stares at various azimuths. The latter is convenient in that it represents the w component of the wind on the same time/height grid as the u and v components, but it is more temporally coarse than the vertical stare measurement. </p> <p>The wind profiles are processed using code developed by Rob Newsom (Dept of Energy Pacific Northwest National Laboratory) and Dave Turner (NOAA Earth Systems Research Lab) and used operationally at the DOE Atmospheric Radiation Measurement (ARM) sites throughout the world. </p>
Figure 3 in Morphometric structure and allometry profiles of the giant red shrimp Aristaeomorpha foliacea (Risso, 1827) in the eastern Mediterranean
Figure 3. Relationship between carapace length and other measurements (mm) (logarithmic plots) of females of Aristaeomorpha foliacea (Risso, 1827) (data pooled for all the sampling periods).
Figure 2 in Morphometric structure and allometry profiles of the giant red shrimp Aristaeomorpha foliacea (Risso, 1827) in the eastern Mediterranean
Figure 2. Morphometric measurements taken on Aristaeomorpha foliacea (Risso, 1827). CL, carapace length; T, telson; U, uropodal exopodite; S, scaphocerite; P, third pereiopod; R, rostrum; ABD, abdomen.
Figure 1 in Morphometric structure and allometry profiles of the giant red shrimp Aristaeomorpha foliacea (Risso, 1827) in the eastern Mediterranean
Figure 1. Map of the sampling area and the depth range of the sampling stations of Aristaeomorpha foliacea (Risso, 1827) in the Greek Ionian Sea.
Figure 4 in Morphometric structure and allometry profiles of the giant red shrimp Aristaeomorpha foliacea (Risso, 1827) in the eastern Mediterranean
Figure 4. Relationship between carapace length and other measurements (mm) (logarithmic plots) of males of Aristaeomorpha foliacea (Risso, 1827) (data pooled for all the sampling periods).
Toxicogenomic profiles of neuronal targeting insecticides in zebrafish embryos as non-target aquatic vertebrate model
<p>We have conducted semi-static exposure studies with six neuronal targeting insecticides on fertilized zebrafish (Danio rerio) eggs, similar to the OECD 236 guideline for the 96h zebrafish embryo toxicity test. The aim of these transcriptomic profiling experiments was to screen for ecotoxicogenomic fingerprints in zebrafish (Danio rerio) embryos as aquatic vertebrate non-target model exposed to sub lethal concentrations of pesticides. Data published in <a href="https://doi.org/10.1016/j.chemosphere.2021.132746">Reinwald et al. 2021</a> (PMID:<strong>34748799</strong>).</p> <p>For experimental details please refer to the publicly accessible experiment description and treatment protocols deposited in the <a href="https://www.ebi.ac.uk/arrayexpress/">ArrayExpress database </a>at EMBL-EBI (www.ebi.ac.uk/arrayexpress) under the following accession numbers: <a href="https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-9852/">E-MTAB-9852</a> (Abamectin), <a href="https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-9855/">E-MTAB-9855 </a>(Carbaryl),<a href="https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-9853/"> E-MTAB-9853</a> (Chlorpyrifos), <a href="https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-9854/">E-MTAB-9854</a> (Fipronil), <a href="https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-9859/">E-MTAB-9859</a> (Imidacloprid), <a href="https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-9860/">E-MTAB-9860</a> (Methoxychlor).</p> <p>The uploaded data archives (<a href="https://www.7-zip.org/">7-zip</a> compressed) consists of three major data types:<br> 1. MultiQC reports from raw RNA-Seq read processing and QC (50bp SR) ( <a href="https://zenodo.org/api/files/5c06b1b3-0d96-4ab8-8925-a7419f0a379d/Neuotox_multiQCreports.7z">Neuotox_multiQCreports.7z </a>)<br> 2. Result tables of differential gene expression analysis (DGEA) with DESEq2 ( <a href="https://zenodo.org/api/files/5c06b1b3-0d96-4ab8-8925-a7419f0a379d/Neurotox_DESeq2_ResultTables.7z">Neurotox_DESeq2_ResultTables.7z </a>)<br> 3. Result tables of gene set enrichment analysis (GSEA) with clusterProfiler ( <a href="https://zenodo.org/api/files/5c06b1b3-0d96-4ab8-8925-a7419f0a379d/Neurotox_clusterProfiler_ResultTables.7z">Neurotox_clusterProfiler_ResultTables.7z </a>)<br> 4. Result tables of overrepresentation analysis (ORA) via <em>clusterProfiler::compareCluster() </em>( <a href="https://zenodo.org/api/files/c3fb14b4-6a90-4b12-a2be-ed5661d19683/Neurotox_clusterProfiler_ORA_on_core_DEGs.7z?versionId=2156d2be-b815-4157-b0f9-3eeed117b812">Neurotox_clusterProfiler_ORA_on_core_DEGs.7z </a>)</p> <p>Each data archive contains a README file describing the methods applied to generate the respective result tables / reports. For each tested substance and exposure condition a DGEA and GSEA result table is uploaded. The corresponding bash and R codes for each analysis step are available on github under:<br> <a href="https://github.com/hreinwal/zfeNeurotox">https://github.com/hreinwal/zfeNeurotox</a></p> <p>Gene count normalization and DGEA was conducted with DESeq2 (<a href="https://genomebiology.biomedcentral.com/articles/10.1186/s13059-014-0550-8">Love et al., 2014</a>, DOI 10.1186/s13059-014-0550-8). Three biological replicates per condition, exposure treatments were compared with respect to the control group in a pairwise fashion, applying Wald’s t-test. P values were corrected for multiple testing with independent hypothesis weighting (IHW) (<a href="https://www.nature.com/articles/nmeth.3885">Ignatiadis et al., 2016</a>, DOI 10.1038/nmeth.3885) after Benjamini-Hochberg (BH). To improve the signal to statistical noise ratio, the obtained log<sub>2</sub>-fold change (lfc) values were shrunk with the apeglm method described by Zhu and colleagues (<a href="https://academic.oup.com/bioinformatics/article/35/12/2084/5159452?login=true">2019</a>, DOI 10.1093/bioinformatics/bty895) before DGEA result tables were subjected to GSEA via clusterProfiler (<a href="https://www.liebertpub.com/doi/10.1089/omi.2011.0118">Yu et al., 2012</a>, DOI 10.1089/omi.2011.0118)<br> and reactomePA (<a href="https://pubs.rsc.org/en/content/articlehtml/2015/mb/c5mb00663e">Yu and He, 2016</a>, DOI 10.1039/C5MB00663E). The linked ArrayExpress accession numbers above, provide access to the raw and DESeq2 normalized gene count matrices upon which these analysis were performed. Genes were annotated through the biomaRt package (<a href="https://www.nature.com/articles/nprot.2009.97.pdf?origin=ppub">Durinck et al., 2009</a>, DOI 10.1038/nprot.2009.97) in R (<a href="https://www.r-project.org/">R Core Team 2021</a>).</p>
Double-tagging scores of seabirds reveals that light-level geolocator accuracy is limited by species idiosyncrasies and equatorial solar profiles
<p>Light-level geolocators are popular bio-logging tools, with advantageous sizes, longevity, and affordability. Biologists tracking seabirds often presume geolocator spatial accuracies between 186-202 km from previously-innovative, yet taxonomically, spatially, and computationally limited, studies. Using recently developed methods, we investigated whether assumed uncertainty norms held across a larger-scale, multispecies study.</p> <p>We field-tested geolocator spatial accuracy by synchronously deploying these with GPS loggers on scores of seabirds across five species and 11 Mediterranean Sea, East Atlantic and South Pacific breeding colonies. We first interpolated geolocations using the geolocation package FLightR without prior knowledge of GPS tracked routes. We likewise applied another package, probGLS, additionally testing whether sea-surface temperatures could improve route accuracy.</p> <p>Geolocator spatial accuracy was lower than the ~200km often assumed. probGLS produced the best accuracy (mean ± SD = 304 ± 413 km, <i>n</i> = 185 deployments) with 84.5% of GPS-derived latitudes and 88.8% of longitudes falling within resulting uncertainty estimates. FLightR produced lower spatial accuracy (408 ± 473 km, <i>n</i> = 171 deployments) with 38.6% of GPS-derived latitudes and 27% of longitudes within package-specific uncertainty estimates. Expected inter-twilight period (from GPS position and date) was the strongest predictor of accuracy, with increasingly equatorial solar profiles (i.e., closer temporally to equinoxes and/or spatially to the Equator) inducing more error. Individuals, species and geolocator model also significantly affected accuracy, while the impact of distance travelled between successive twilights depended on the geolocation package.</p> <p>Geolocation accuracy is not uniform among seabird species and can be considerably lower than assumed. Individual idiosyncrasies and spatiotemporal dynamics (i.e., shallower inter-twilight shifts by date and latitude) mean that practitioners should exercise greater caution in interpreting geolocator data and avoid universal uncertainty estimates. We provide a function capable of estimating relative accuracy of positions based on geolocator-observed inter-twilight period.</p>
Text-fig. 3 Ternary diagram of the relative abundance (in %) of juvenile, prime adult, and old adult specimens in samples of Castor fiber (data from Table 3). The red dots indicate the Pleistocene samples of Bilzingsleben II (B), Weimar- Ehringsdorf (E), and Weimar-Taubach (T), the black dot represents an extant population from Telemark in Norway (data from Campbell 2009). Abbreviations of zones (after Discamps and Costamagno 2015): JOP – Juveniles-Old-Prime dominated zone, JPO – Juveniles-Prime-Old dominated zone, O – Old dominated zone, P – Prime dominated zone. The diagram shows the position of all three fossil samples in the prime dominated zone. in Mortality Profiles Of Castor And Trogontherium (Mammalia: Rodentia, Castoridae), With Notes On The Site Formation Of The Mid-Pleistocene Hominin Locality Bilzingsleben Ii (Thuringia, Central Germany)
Text-fig. 3 Ternary diagram of the relative abundance (in %) of juvenile, prime adult, and old adult specimens in samples of Castor fiber (data from Table 3). The red dots indicate the Pleistocene samples of Bilzingsleben II (B), Weimar- Ehringsdorf (E), and Weimar-Taubach (T), the black dot represents an extant population from Telemark in Norway (data from Campbell 2009). Abbreviations of zones (after Discamps and Costamagno 2015): JOP – Juveniles-Old-Prime dominated zone, JPO – Juveniles-Prime-Old dominated zone, O – Old dominated zone, P – Prime dominated zone. The diagram shows the position of all three fossil samples in the prime dominated zone.
Text-fig. 4. Mortality profile (relative abundance of age groups) of Trogontherium based on dp4 and p4 from the fossil sites of Bilzingsleben II, Mosbach 2 and Tegelen. Data from Table 4. in Mortality Profiles Of Castor And Trogontherium (Mammalia: Rodentia, Castoridae), With Notes On The Site Formation Of The Mid-Pleistocene Hominin Locality Bilzingsleben Ii (Thuringia, Central Germany)
Text-fig. 4. Mortality profile (relative abundance of age groups) of Trogontherium based on dp4 and p4 from the fossil sites of Bilzingsleben II, Mosbach 2 and Tegelen. Data from Table 4.
Text-fig. 1. Geographic position of the beaver-bearing sites discussed in this paper. Red triangles – records of Castor, blue dots – records of Trogontherium. Bilz II – Bilzingsleben II, Ehr – Weimar-Ehringsdorf, Mosb 2 – Mosbach 2, Taub – Weimar-Taubach, Teg – Tegelen. (This map was created using ArcGIS® software by Esri. ArcGIS® and ArcMap™ are the intellectual property of Esri and are used herein under license. Copyright © Esri). in Mortality Profiles Of Castor And Trogontherium (Mammalia: Rodentia, Castoridae), With Notes On The Site Formation Of The Mid-Pleistocene Hominin Locality Bilzingsleben Ii (Thuringia, Central Germany)
Text-fig. 1. Geographic position of the beaver-bearing sites discussed in this paper. Red triangles – records of Castor, blue dots – records of Trogontherium. Bilz II – Bilzingsleben II, Ehr – Weimar-Ehringsdorf, Mosb 2 – Mosbach 2, Taub – Weimar-Taubach, Teg – Tegelen. (This map was created using ArcGIS® software by Esri. ArcGIS® and ArcMap™ are the intellectual property of Esri and are used herein under license. Copyright © Esri).
Figs. 1–9. Dufourea holocyanea. 1. Entire postdefecating larva, lateral view. 2. Predefecating larva, lateral view. 3. Head, frontal view. 4. Head, lateral view. 5. Spiracle, side view. 6. Antenna, maximum lateral profile. 7–9 in Immatures of Rophitine Bees, with Notes on their Nesting Biology (Hymenoptera: Apoidea: Halictidae)
Figs. 1–9. Dufourea holocyanea. 1. Entire postdefecating larva, lateral view. 2. Predefecating larva, lateral view. 3. Head, frontal view. 4. Head, lateral view. 5. Spiracle, side view. 6. Antenna, maximum lateral profile. 7–9. Right mandible, dorsal, inner, and ventral views, respectively. Scale refers to figs. 1, 2.
Text-fig. 2. Field photograph of the sampling locality, together with a schematic profile. Stratigraphic horizon from which the fossil wood fragment was extracted (white arrow) (Modified from Pires and Da Rosa 2000). in A New Fossil Fabaceae Wood From The Pleistocene Touro Passo Formation Of Rio Grande Do Sul, Brazil
Text-fig. 2. Field photograph of the sampling locality, together with a schematic profile. Stratigraphic horizon from which the fossil wood fragment was extracted (white arrow) (Modified from Pires and Da Rosa 2000).
Text-fig. 37. Scanning electron microscope (SEM) images of anthers and monocolpate pollen of Eckhartia brevicolumella gen. et sp. nov. from stamen fragment; Torres Vedras locality, Portugal. a) Dithecate, tetrasporangiate anther partially split along the elongated sporangia; b) Dithecate, tetrasporangiate anther; c) Holotype; distal view of pollen grain from holotype showing the long colpus with a distinct margin and a heterobrochate reticulum; d) Distal view of pollen grain from a stamen fragment showing long colpus, colpus margin and heterobrochate reticulum; e) Inner surface of anther wall from stamen fragment showing densely spaced dentate orbicules; f) Lateral view of pollen grains from stamen showing the psilate to foveolate-microreticulate colpus margin; g) Detail of pollen grain from holotype showing the slightly rounded profile of the muri, the short, densely spaced columellae and the dentate orbicules. Specimens, TV44-S136662 (a), TV44-S149204 (b), TV44-S136760 (holotype; c, g), TV44-S148021 (d, e), TV44-S136752 (f). Scale bars 300 Μm (a, b), 6 Μm (c, d, f), 3 Μm (e, g). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 37. Scanning electron microscope (SEM) images of anthers and monocolpate pollen of Eckhartia brevicolumella gen. et sp. nov. from stamen fragment; Torres Vedras locality, Portugal. a) Dithecate, tetrasporangiate anther partially split along the elongated sporangia; b) Dithecate, tetrasporangiate anther; c) Holotype; distal view of pollen grain from holotype showing the long colpus with a distinct margin and a heterobrochate reticulum; d) Distal view of pollen grain from a stamen fragment showing long colpus, colpus margin and heterobrochate reticulum; e) Inner surface of anther wall from stamen fragment showing densely spaced dentate orbicules; f) Lateral view of pollen grains from stamen showing the psilate to foveolate-microreticulate colpus margin; g) Detail of pollen grain from holotype showing the slightly rounded profile of the muri, the short, densely spaced columellae and the dentate orbicules. Specimens, TV44-S136662 (a), TV44-S149204 (b), TV44-S136760 (holotype; c, g), TV44-S148021 (d, e), TV44-S136752 (f). Scale bars 300 Μm (a, b), 6 Μm (c, d, f), 3 Μm (e, g).
Text-fig. 5. Photo of a small segment of an instructive profile in the Under the Ladder test pit and the Fox Passage test pit. Visible in the figure are mainly the bones of bears from the cave bear group. Photo by M. Polách. in The Mammalian Fauna Of Barová Cave (Moravian Karst, The Czech Republic)
Text-fig. 5. Photo of a small segment of an instructive profile in the Under the Ladder test pit and the Fox Passage test pit. Visible in the figure are mainly the bones of bears from the cave bear group. Photo by M. Polách.
Text-fig. 2. Profile of the Fox Passage test pit, shape of December 2012. The letters A, B, C mark three fossiliferous layers, the letter D marks a highest part of the palaeontologically sterile bedrock. in The Mammalian Fauna Of Barová Cave (Moravian Karst, The Czech Republic)
Text-fig. 2. Profile of the Fox Passage test pit, shape of December 2012. The letters A, B, C mark three fossiliferous layers, the letter D marks a highest part of the palaeontologically sterile bedrock.
Text-fig. 3. Scatter diagrams of a) upper and b) lower teeth from BRS 25 (black profile), French localities (cyan; data from Crochet 1986) and Moncucco Torinese (red ones; unpublished data). in New Light On Parasorex Depereti (Erinaceomorpha: Erinaceidae: Galericini) From The Late Messinian (Mn 13) Of The Monticino Quarry (Brisighella, Faenza, Italy)
Text-fig. 3. Scatter diagrams of a) upper and b) lower teeth from BRS 25 (black profile), French localities (cyan; data from Crochet 1986) and Moncucco Torinese (red ones; unpublished data).
Oblique profile of a Tyrannosaurus torosus head. Note the good degree of binocular vision, and the bulgingjaw-closing muscles on what is in effect a little frill at the back-top of the head. in Predatory Dinosaurs of the World
Oblique profile of a Tyrannosaurus torosus head. Note the good degree of binocular vision, and the bulgingjaw-closing muscles on what is in effect a little frill at the back-top of the head.
Bagoue dataset-Cote d'Ivoire: Electrical profiling, electrical sounding and boreholes data
<p>Bagoue region lies between longitudes 6° and 7° W and latitudes 9° and 11° N in the north of Cote d’Ivoire. The geophysical and boreholes data were collected from National Office of Drinking Water (ONEP) and West-Africa International Drilling Company (FORACO-CI) during the Presidential Emergency Program (PPU) in 2012-2013 and the National Drinking Water Supply Program (PNAEP) in 2014. During the progress of both projects, the electrical methods is the most used especially the resistivity profiling and the electrical sounding methods. Originally, data were used for Groundwater Flow Rate (GFR) prediction using a Support Vector Machines(SVMs).</p>
Vertically pointing doppler radar profiles (24 GHz Metek MRR-2) at Mario Zucchelli Station (Terra Nova Bay, Antarctica), aggregated to 5min, monthly netCDF archive
<p>Vertical profiles along the first kilometre of atmosphere above the ground (from 105 to 1050 m AGL) of equivalent radar reflectivity factor (Ze), Doppler velocity (W) and Doppler spectral width (Sw) from a 24-GHz vertically pointing Micro Rain Radar MRR-2 by METEK GmbH positioned at Mario Zucchelli Station (Terra Nova Bay, Antarctica).</p> <p>Metadata available at <a href="https://antarcticdatacenter.cnr.it/geonetwork/srv/api/records/6fe32f1f-247e-493d-9cd3-88714e5b38ef" target="_blank" rel="noopener">https://antarcticdatacenter.cnr.it/geonetwork/srv/api/records/6fe32f1f-247e-493d-9cd3-88714e5b38ef</a></p> <p>--------------------------------------------------------------------</p> <p>Example of netCDF file structure: </p> <h2>File "MZS_MRR_MeK_201912_5min.nc"</h2> <pre><strong> dimensions</strong>: <em>range </em>= 31; <em>time </em>= UNLIMITED; // (8928 currently) <strong>variables</strong>: float <em>Ze</em>(range=31, time=8928); :description = "Equivalent reflectivity factor relative to the most significant peak, dealiased, 5min non-logarithmic average. NaN means clear sky at the specified height."; :units = "dBZ"; :_ChunkSizes = 31U, 1U; // uint long <em>time_UTC</em>(time=8928); :description = "Measurement time. Timestamp indicates the end of the aggregation interval, e.g. 01-Mar-2020 00:05:00 represents the average of the variables between 01-Mar-2020 00:00:01 and 01-Mar-2020 00:05:00."; :time_zone = "UTC"; :units = "Seconds since 1970-01-01 00:00:00 (Unix time)."; :_ChunkSizes = 512U; // uint float <em>W</em>(range=31, time=8928); :description = "Mean Doppler Velocity of the most significant peak, dealiased, 5min average. Value not available in clear-sky conditions."; :units = "m s^-1"; :_ChunkSizes = 31U, 1U; // uint float <em>height</em>(range=31, time=8928); :description = "Height above instrument."; :units = "m"; :_ChunkSizes = 31U, 1U; // uint float <em>spectralWidth</em>(range=31, time=8928); :description = "Doppler Spectral Width of the most significant peak, dealiased, 5min average. Value not available in clear-sky conditions."; :units = "m s^-1"; :_ChunkSizes = 31U, 1U; // uint // <strong>global attributes</strong>: :<em>title </em>= "Micro rain radar data processed with IMProToo (Maahn, M. and Kollias, P., 2012), aggregated to 5min, monthly netCDF archive."; :<em>comment </em>= "IMProToo has been developed for improved snow measurements. Note that this data has been processed regardless of precipitation type."; :<em>time_label </em>= "Dec 2019"; :<em>source </em>= "Micro Rain Radar 2 (MRR-2), METEK GmbH, at MZS (Antarctica), frequency: 24 GHz, power: 50 mW, antenna diameter: 60 cm [https://metek.de/product/mrr-2/]"; :<em>institution </em>= "CNR-ISAC, Rome (IT)"; :<em>contact_person </em>= "Luca Baldini, CNR-ISAC, Rome (IT), l.baldini@isac.cnr.it"; :<em>location </em>= "Mario Zucchelli Station (Terra Nova Bay, Antarctica, 74°42\'S, 164°07\'E, 15 m a.s.l.)"; :<em>author </em>= "Giacomo Roversi, Ca\' Foscari University, Venice (IT) and CNR-ISAC, Rome (IT), g.roversi@isac.cnr.it"; :<em>creation_date </em>= "22-Oct-2024 17:40:46 UTC"; :<em>coverage </em>= "Monthly coverage (Dec 2019): 100 %"; :<em>time_resolution </em>= "5 minutes"; :<em>history </em>= "Created with IMProToo v0.107 [https://github.com/maahn/IMProToo], aggregated to 5 minutes temporal resolution with an average of the 1-minute values if least 3 out of 5 are not NaN."; </pre>
Railing fragment with standing figure from Andhra, profile drawing of British Museum 1955,1017.1
<p>Railing fragment with standing figure from Andhra, profile drawing of British Museum 1955,1017.1</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.