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PP-recyclates characterization after different sampling and recycling strategies-Parallel Plate Rheology data
<p>The purpose of this analysis is to evaluate the efficiency of different recycling procedures and the quality of the resulting recyclates.</p> <p>This dataset contains raw parallel plate rheology data of PP-recyclates from different recycling strategies. The content is:</p> <ul> <li>One Excel file containing parallel plate rheology data of PP recyclates after scCO2 recycling, reference samples and measurement protocol</li> <li>One Excel file containing parallel plate rheology of PP recyclates after solvent-based recycling, reference samples and measurement protocol</li> <li>One Excel file containing parallel plate rheology data of PP recyclates after upcycling, reference samples and measurement protocol</li> <li>One Readme file containing further information about the methodology and nomenclature</li> </ul> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p>
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation - Data and Samples
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RESSPECT Sample data
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Data repository for Uniaxial compression of 3D printed samples with voids: laboratory measurements compared with Effective Medium Theory
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Table ¹: Data by year and by month, for the number of cameras, sampling days, sampling effort, and relative abundance index (RAI) of records for females and cubs. in Reproductive aspects of female Andean bears (Tremarctos ornatus) in the Chingaza massif, eastern range of the Colombian Andes
<p><b>Table ¹:</b> Data by year and by month, for the number of cameras, sampling days, sampling effort, and relative abundance index (RAI) of records for females and cubs.</p><table><tbody><tr><th><b>Year</b></th><th><b>Camera traps used</b></th><th></th><th></th><th><b>Sampling days per month (sampling effort per month)</b></th><th></th><th></th><th><b>Sampling days</b></th><th><b>Camera traps</b></th><th><b>Sampling effort</b></th></tr></tbody><tbody><tr><th><b>Reconyx Wildview</b></th><td><b>Bushnell</b></td><td><b>]</b></td><td><b>F</b></td><td><b>M</b></td><td><b>A</b></td><td><b>M</b></td><td><b>]</b></td><td><b>]</b></td><td><b>A</b></td><td><b>S</b></td><td><b>O</b></td><td><b>N</b></td><td><b>D</b></td><td><b>per year</b></td><td><b>per year</b></td><td><b>per year</b></td></tr><tr><th>2011</th><td>2</td><td>4</td><td>0</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>3 (18)</td><td>30</td><td>30</td><td>30</td><td>93</td><td>6</td><td>558</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>(180)</td><td>(180)</td><td>(180)</td><td></td><td></td><td></td></tr><tr><th>2012a</th><td>2</td><td>4</td><td>0</td><td>31</td><td>29</td><td>31</td><td>30</td><td>31</td><td>30</td><td>31</td><td>31</td><td>30</td><td>31</td><td>30</td><td>30</td><td>365</td><td>6</td><td>2190</td></tr><tr><th></th><td></td><td></td><td></td><td>(186)</td><td>(174)</td><td>(186)</td><td>(180)</td><td>(186)</td><td>(180)</td><td>(186)</td><td>(186)</td><td>(180)</td><td>(186)</td><td>(180)</td><td>(180)</td><td></td><td></td><td></td></tr><tr><th>2012b</th><td>0</td><td>0</td><td>12</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>30</td><td>30</td><td>60</td><td>12</td><td>720</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>(360)</td><td>(360)</td><td></td><td></td><td></td></tr><tr><th>2013</th><td>2</td><td>4</td><td>14</td><td>31</td><td>28</td><td>31</td><td>30</td><td>31</td><td>30</td><td>31</td><td>31</td><td>30</td><td>30</td><td></td><td></td><td>303</td><td>20</td><td>6060</td></tr><tr><th></th><td></td><td></td><td></td><td>(620)</td><td>(560)</td><td>(620)</td><td>(600)</td><td>(620)</td><td>(600)</td><td>(620)</td><td>(620)</td><td>(600)</td><td>(600)</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>2014</th><td>0</td><td>2</td><td>9</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>3 (33)</td><td>30</td><td>33</td><td>11</td><td>363</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>(330)</td><td></td><td></td><td></td></tr><tr><th>2015a</th><td>0</td><td>2</td><td>9</td><td>31</td><td>28</td><td>31</td><td>30</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>120</td><td>11</td><td>1320</td></tr><tr><th></th><td></td><td></td><td></td><td>(341)</td><td>(308)</td><td>(341)</td><td>(330)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>2015b</th><td>0</td><td>0</td><td>117</td><td></td><td></td><td></td><td></td><td>2 (234)</td><td>30</td><td>31</td><td>31</td><td>30</td><td>31</td><td>30</td><td>30</td><td>215</td><td>117</td><td>25,155</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>(3510)</td><td>(3627)</td><td>(3627)</td><td>(3510)</td><td>(3627)</td><td>(3510)</td><td>(3510)</td><td></td><td></td><td></td></tr><tr><th>2016</th><td>0</td><td>0</td><td>117</td><td>31</td><td>29</td><td>31</td><td>30</td><td>30</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>151</td><td>117</td><td>17,667</td></tr><tr><th></th><td></td><td></td><td></td><td>(3627)</td><td>(3393)</td><td>(3627)</td><td>(3510)</td><td>(3510)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>Sum of sampling effort per month over</th><td>4774</td><td>4435</td><td>4774</td><td>4620</td><td>4550</td><td>4290</td><td>4433</td><td>4433</td><td>4308</td><td>4593</td><td>4263</td><td>4560</td><td>Total sampling effort</td><td>54,033</td></tr><tr><th>the years</th></tr><tr><th>Records of females with cubs (4 <b>–</b></th><td>1</td><td>2</td><td>1</td><td>3</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>2</td><td>0</td><td>4</td><td></td><td></td><td></td></tr><tr><th>7 months)</th></tr><tr><th>RAI of females with cubs (4 <b>–</b> 7 months)</th><td>0.21</td><td>0.45</td><td>0.21</td><td>0.65</td><td>0.22</td><td>0.00</td><td>0.00</td><td>0.00</td><td>0.00</td><td>0.44</td><td>0.00</td><td>0.88</td><td></td><td></td><td></td></tr><tr><th>Records of estimated births</th><td></td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>7</td><td>3</td><td>2</td><td>0</td><td>3</td><td>3</td><td>0</td><td></td><td></td><td></td></tr><tr><th>RAI of estimated births</th><td></td><td></td><td>0.21</td><td>0.00</td><td>0.21</td><td>0.00</td><td>0.00</td><td>1.63</td><td>0.68</td><td>0.45</td><td>0.00</td><td>0.65</td><td>0.70</td><td>0.00</td><td></td><td></td><td></td></tr></tbody></table>
MATLAB code and interfaces, quantum efficiency data for Hyper-sampling imaging
<p>Supplementary Materials for "Hyper-sampling imaging by measurement of intra-pixel quantum efficiency using steady wave field"</p>
Multi-antigen imaging data of skin tissue samples from melanoma and benign nevi
<h2><strong>Data</strong></h2> <p>Multi-antigen imaging data with 182 skin tissue samples:</p> <table> <tbody> <tr> <td>Condition</td> <td>PFS</td> <td>Number of patients</td> <td>Number of MELC images</td> </tr> <tr> <td>Melanoma</td> <td>PFS >=5</td> <td>14</td> <td>97</td> </tr> <tr> <td>Melanoma</td> <td>PFS < 5</td> <td>8</td> <td>15</td> </tr> <tr> <td>Melanoma</td> <td>NA</td> <td>5</td> <td>13</td> </tr> <tr> <td>Benign nevi</td> <td>-</td> <td>12</td> <td>57</td> </tr> </tbody> </table> <p>Patients were treated at the University Hospital Erlangen. Each sample contains around 50 protein channels, each of resolution 512 X 512 pixels. The data were generated using multi-epitope ligand cartography (MELC) (https://doi.org/10.1038/nbt1250, https://doi.org/10.1007/3-540-36459-5_8).</p> <h2>Metadata</h2> <p>For each MELC image, the table contains the corresponding section and patient ID, sex, age, and which group (melanoma or nevus) it belongs to. For most of the melanoma samples, the data contains the information, whether the patient had progression free survival (PFS) of 5 years, the tumor thickness, whether the tumor is ulcerated and its coarse location (0: thoraric, 1: abdominal, 2: back, 3: arm, 4: leg) and side (right: -1, left: 1). Furthermore, we annotate if we could produce a high-quality segmentation result.</p> <h2>Model weights</h2> <p>We provide the pre-trained model as well as the fine-tuned models. Please be aware that we initalize the model before pre-training with the weights provided here https://github.com/ozanciga/self-supervised-histopathology/releases/tag/tenpercent (Ciga, O., Xu, T., and Martel, A. L. (2022). Self supervised contrastive learning for digital histopathology. Machine Learning with Applications 7, 100198).</p> <h2>Anndata file</h2> <p>We provide an anndata file with cell-level protein abundance and assigned cell types.</p>
Data from: Origin of tensile strength of a woven sample cut in bias directions
Textile fabrics are highly anisotropic, so that their mechanical properties including strengths are a function of direction. An extreme case is when a woven fabric sample is cut in such a way where the bias angle and hence the tension loading direction is around 45° relative to the principal directions. Then, once loaded, no yarn in the sample is held at both ends, so the yarns have to build up their internal tension entirely via yarn–yarn friction at the interlacing points. The overall fabric strength in such a sample is a result of contributions from the yarns being pulled out and those broken during the process, and thus becomes a function of the bias direction angle θ, sample width W and length L, along with other factors known to affect fabric strength tested in principal directions. Furthermore, in such a bias sample when the major parameters, e.g. the sample width W, change, not only the resultant strengths differ, but also the strength generating mechanisms (or failure types) vary. This is an interesting problem and is analysed in this study. More specifically, the issues examined in this paper include the exact mechanisms and details of how each interlacing point imparts the frictional constraint for a yarn to acquire tension to the level of its strength when both yarn ends were not actively held by the testing grips; the theoretical expression of the critical yarn length for a yarn to be able to break rather than be pulled out, as a function of the related factors; and the general relations between the tensile strength of such a bias sample and its structural properties. At the end, theoretical predictions are compared with our experimental data.
Data from: An efficient independence sampler for updating branches in Bayesian Markov chain Monte Carlo sampling of phylogenetic trees
Sampling tree space is the most challenging aspect of Bayesian phylogenetic inference. The sheer number of alternative topologies is problematic by itself. In addition, the complex dependency between branch lengths and topology increases the difficulty of moving efficiently among topologies. Current tree proposals are fast but sample new trees using primitive transformations or re-mappings of old branch lengths. This reduces acceptance rates and presumably slows down convergence and mixing. Here, we explore branch proposals that do not rely on old branch lengths but instead are based on approximations of the conditional posterior. Using a diverse set of empirical data sets, we show that most conditional branch posteriors can be accurately approximated via a Γ distribution. We empirically determine the relationship between the logarithmic conditional posterior density, its derivatives, and the characteristics of the branch posterior. We use these relationships to derive an independence sampler for proposing branches with an acceptance ratio of ∼90% on most data sets. This proposal samples branches between 2× and 3× more efficiently than traditional proposals with respect to the effective sample size per unit of runtime. We also compare the performance of standard topology proposals with hybrid proposals that use the new independence sampler to update those branches that are most affected by the topological change. Our results show that hybrid proposals can sometimes noticeably decrease the number of generations necessary for topological convergence. Inconsistent performance gains indicate that branch updates are not the limiting factor in improving topological convergence for the currently employed set of proposals. However, our independence sampler might be essential for the construction of novel tree proposals that apply more radical topology changes.
Data from: A method for estimating population sex ratio for sage-grouse using noninvasive genetic samples
Population sex ratio is an important metric for wildlife management and conservation, but estimates can be difficult to obtain, particularly for sexually monomorphic species or for species that differ in detection probability between the sexes. Noninvasive genetic sampling (NGS) using polymerase chain reaction (PCR) has become a common method for identifying sex from sources such as hair, feathers, or feces, and is a potential source for estimating sex ratio. If, however, PCR success is sex-biased, naively using NGS could lead to a biased sex ratio estimator. We measured PCR success rates and error rates for amplifying the W and Z chromosomes from greater sage-grouse (Centrocercus urophasianus) fecal samples, examined how success and error rates for sex identification changed in response to fecal sample exposure time, and used simulation models to evaluate precision and bias of 3 sex assignment criteria for estimating population sex ratio with variable sample sizes and levels of PCR replication. We found PCR success rates were higher for females than males and that choice of sex assignment criteria influenced the bias and precision of corresponding sex ratio estimates. Our simulations demonstrate the importance of considering the interplay between the sex-bias of PCR success, number of genotyping replicates, sample size, true population sex ratio, and accuracy of assignment rules for designing future studies. Our results suggest that using fecal DNA for estimating the sex ratio of sage-grouse populations has great potential and, with minor adaptations, should be applicable to numerous species.
Data from: Sex roles and mutual mate choice matters during mate sampling
The roles of females and males in mating competition and mate choice have lately proven more variable, between and within species, than previously thought. In nature, mating competition occurs during mate search, and is expected to be regulated by the numbers of potential mates and same-sex competitors. Here, we present the first study to test how a temporal change in sex roles affects mating competition and mate choice during mate sampling. Our model system (the marine fish Gobiusculus flavescens) is uniquely suitable because of its change in sex roles, from conventional to reversed, over the breeding season. As predicted from sex role theory, courtship was typically initiated by males and terminated by females early in the breeding season. The opposite pattern was observed late in the season, at which time several females often simultaneously courted the same male. Mate-searching females visited more males early than late in the breeding season. Our study shows that mutual mate choice and mating competition can have profound effects on female and male behavior. Future work needs to consider the dynamical nature of mating competition and mate choice if we aim to fully understand sexual selection in the wild.
Data from: Practical low-coverage genomewide sequencing of hundreds of individually barcoded samples for population and evolutionary genomics in nonmodel species
Today most population genomic studies of nonmodel organisms either sequence a subset of the genome deeply in each individual or sequence pools of unlabelled individuals. With a step-by-step workflow, we illustrate how low-coverage whole-genome sequencing of hundreds of individually barcoded samples is now a practical alternative strategy for obtaining genomewide data on a population scale. We used a highly efficient protocol to generate high-quality libraries for ~6.5 USD from each of 876 Atlantic silversides (a teleost fish with a genome size ~730 Mb) that we sequenced to 1–4× genome coverage. In the absence of a reference genome, we developed a bioinformatic pipeline for mapping the genomic reads to a de novo assembled reference transcriptome. This provides an 'in silico' method for exome capture that avoids the complexities and expenses of using wet chemistry for target isolation. Using novel tools for analysis of low-coverage data, we extracted population allele frequencies, individual genotype likelihoods and polymorphism data for 2 504 335 SNPs across the exome for the 876 fish. To illustrate the use of the resulting data, we present a preliminary analysis of geographical patterns in the exome data and a comparison of complete mitochondrial genome sequences for each individual (constructed from the low-coverage data) that show population colonization patterns along the US east coast. With a total cost per sample of less than 50 USD (including sequencing) and ability to prepare 96 libraries in only 5 h, our approach adds a viable new option to the population genomics toolbox.
Data from: RADseq underestimates diversity and introduces genealogical biases due to nonrandom haplotype sampling
Reduced representation genome-sequencing approaches based on restriction digestion are enabling large-scale marker generation and facilitating genomic studies in a wide range of model and nonmodel systems. However, sampling chromosomes based on restriction digestion may introduce a bias in allele frequency estimation due to polymorphisms in restriction sites. To explore the effects of this nonrandom sampling and its sensitivity to different evolutionary parameters, we developed a coalescent-simulation framework to mimic the biased recovery of chromosomes in restriction-based short-read sequencing experiments (RADseq). We analysed simulated DNA sequence datasets and compared known values from simulations with those that would be estimated using a RADseq approach from the same samples. We compare these 'true' and 'estimated' values of commonly used summary statistics, π, θw, Tajima's D and FST. We show that loci with missing haplotypes have estimated summary statistic values that can deviate dramatically from true values and are also enriched for particular genealogical histories. These biases are sensitive to nonequilibrium demography, such as bottlenecks and population expansion. In silico digests with 102 completely sequenced Drosophila melanogaster genomes yielded results similar to our findings from coalescent simulations. Though the potential of RADseq for marker discovery and trait mapping in nonmodel systems remains undisputed, our results urge caution when applying this technique to make population genetic inferences.
Data from: New sporopollenin-based β-cyclodextrin functionalized magnetic hybrid adsorbent for magnetic solid-phase extraction of nonsteroidal anti-inflammatory drugs from water samples.
A magnetic solid-phase extraction (MSPE) procedure on the newly synthesized magnetic β-cyclodextrin functionalized with toluene diisocyanate (TDI) as a linker and was further modified with bio-polymeric spores of sporopollenin (MSp-TDI-βCD) was developed for the extraction of nonsteroidal anti-inflammatory drugs (NSAIDs) namely indoprofen (INP), ketoprofen (KTP), ibuprofen (IBP) and fenoprofen (FNP) from water samples prior to their HPLC-DAD determination. The newly synthesised MSp-TDI-βCD was comprehensibly characterized using FT-IR, XRD, SEM-EDX, BET and VSM analyses. The separation of selected NSAIDs on MSp-TDI-βCD from aqueous solution was simply achieved by applying an external magnetic field via a permanent magnet. The MSPE parameters affecting extraction performance i.e., sorbent dosage, sample volume, extraction and desorption time, type of organic eluent and volume and solution pH were investigated and optimized. The proposed method showed linear range between 0.5 - 500 ng/mL, low limit of detection at S/N = 3 (0.16 - 0.37 ng/mL) and limit of quantification at S/N = 10 (0.53 - 1.22 ng/mL). The interday (n = 15) and intraday (n = 5) precision for the proposed methods given by relative standard deviation (RSD%) in the range of 2.5 - 4.0 and 2.1 - 5.5 respectively. The extraction recoveries of NSAIDs from environmental samples (tap, drinking and river water) ranged from 92.5 - 123.6%, with satisfactory precision (RSD% less than 12.4%).
jsPerf Sampling Data
<p>SCAM 2021</p>
FIGURE 6 in Kinorhyncha from the Iberian Peninsula: new data from the first intensive sampling campaigns
FIGURE 6. Richness of species and genera by sampling area.
Fig. 21 in Phylogenetic Studies On Didelphid Marsupials Ii. Nonmolecular Data And New Irbp Sequences: Separate And Combined Analyses Of Didelphine Relationships With Denser Taxon Sampling
Fig. 21. Strict consensus of 34 equally mostparsimonious trees obtained by a heuristic analysis of the combined data (nonmolecular characters plus IRBP2) described in this report. Bremer support and bootstrap values are provided above and below each branch, respectively. Outgroup taxa are indicated with asterisks. Parsimonyequivalent resolutions of the basal ingroup polytomy are illustrated in figure 19D, E, and F. Parsimonyequivalent resolutions of the ''other Marmosa'' + Micoureus polytomy are shown in figure 22.
Tests of General Relativity with Binary Black Holes from the second LIGO–Virgo Gravitational-Wave Transient Catalog - Full Posterior Sample Data Release
<p>Data release containing full posterior samples of the following analyses reported in the paper "Tests of General Relativity with Binary Black Holes from the second LIGO–Virgo Gravitational-Wave Transient Catalog" from the LIGO Scientific Collaboration and Virgo Collaboration (<a href="https://doi.org/10.1103/PhysRevD.103.122002">Phys. Rev. D 103, 122002</a>, also available at <a href="https://arxiv.org/abs/2010.14529">arxiv.org:2010.14529</a> and <a href="https://dcc.ligo.org/LIGO-P2000091/public">https://dcc.ligo.org/LIGO-P2000091/public</a>):</p> <ul> <li>Echoes (Sec VII B): ech.zip</li> <li>Inspiral-merger-ringdown consistency test (Sec IV B): imr.zip</li> <li>Lorentz invariance violation test (Sec V I): liv.zip</li> <li>Parametrized tests of general relativity (Sec V A): par.zip</li> <li>Ringdown test (Sec VII A): rin.zip</li> <li>Spin-induced quadrupole moment test (Sec V B): sim.zip</li> </ul> <p>Each zip file contains HDF5 files that can either be read directly with standard HDF5 tools, or using PESummary (<a href="https://docs.ligo.org/lscsoft/pesummary/">https://docs.ligo.org/lscsoft/pesummary/</a>)</p> <p> </p>
ML Injectors Sample Data
<p>Data sets for woring with the windows examples of ml-injector-surrogates</p>
data for "An unbound proline-rich signaling peptide frequently samples cis conformations in Gaussian accelerated molecular dynamics simulations"
<p>Disordered proline-rich motifs are common across the proteomes of many species and are often involved in protein-protein interactions. Proline is a unique amino acid due to the covalent bond between the backbone nitrogen and the proline side chain. The resulting five-membered ring allows proline to sample the <em>cis</em> state about its peptide bond, which other residues cannot do as readily. Because proline-rich disordered sequences exist as ensembles that likely include structures with the proline peptide bond in <em>cis</em>, a robust methodology to accurately account for these conformations in the overall ensemble is crucial. Observing the <em>cis </em>conformations of proline in a disordered sequence is challenging both experimentally and computationally. Nitrogen-hydrogen NMR spectroscopy cannot directly observe proline residues, which lack an amide bond, and computational methods struggle to overcome the large kinetic barrier between the <em>cis </em>and <em>trans </em>states, since isomerization usually occurs on the order of seconds. In the current work, Gaussian accelerated molecular dynamics was used to overcome this free energy barrier and simulate proline isomerization in a tetrapeptide (KPTP) and in the 12-residue proline-rich SH3 binding peptide, ArkA. We found that Gaussian accelerated molecular dynamics, when combined with a lowered peptide bond dihedral angle potential energy barrier (15 kcal/mol), allowed sufficient sampling of the proline <em>cis </em>and <em>trans </em>states on a microsecond timescale. All ArkA prolines spend a significant fraction of time in <em>cis</em>, leading to a more compact ensemble with less polyproline II helix structure than an ArkA ensemble with all peptide bonds in <em>trans</em>. The ensemble containing <em>cis</em> prolines also matches more closely to <em>in vitro</em> circular dichroism data than the all-<em>trans</em> ensemble. The ability of the ArkA prolines to isomerize likely affects the peptide’s ability to bind its partner SH3 domain, and should be studied further. This is the first molecular dynamics simulation study of proline isomerization in a biologically relevant proline-rich sequence that we know of, and a similar protocol could be applied to study multi-proline isomerization in other proline-containing proteins to improve conformational diversity and agreement with <em>in vitro</em> data.</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.