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13,343 results for “Primary”
Figs. 4–5 in Complex of primary and secondary parasitoids (Hymenoptera: Encyrtidae and Signiphoridae) of Hypogeococcus spp. mealybugs (Hemiptera: Pseudococcidae) in the New World
Figs. 4–5. Leptomastidea abnormis male (holotype of L. antillicola): 4, slide; 5, habitus.
Pre-analysis and figure data for Lomax et al. (2024), Untangling the environmental drivers of gross primary productivity in African rangelands
<p>Data required to reproduce main analyses and main text figures for the following publication:</p> <p>Lomax, G. A., Powell, T. W. R., Lenton, T. M., Economou, T., and Cunliffe, A. M. (in press), Untangling the environmental drivers of gross primary productivity in African rangelands.</p> <p> </p> <p>File details:</p> <ol> <li>df_annual.csv - the full 19-year dataset of model variables for reproducing the main analysis (for Figures 2-3).</li> <li>df_multi_annual.csv - a smaller dataset of multi-annual mean and variability variables for reproducing the analysis behind Figure 4.</li> <li>Fig1_data.tif - raster dataset containing the four variables shown in Figure 1.</li> <li>Fig2_data.csv - model results for the main analysis underlying Figure 2.</li> <li>Fig3_data.csv - model results for the binned analysis underlying Figure 3.</li> <li>Fig4_data.csv - model results for the multi-annual analysis underlying Figure 4.</li> </ol>
Armitage et al., 2024. Multidecadal changes in coastal benthic species (primary and secondary data: SOTEAG)
<p>The primary data forms part of an ongoing monitoring programme by the Shetland Oil Terminal Environmental Advisory Group (SOTEAG). SOTEAG has undertaken biennial benthic surveys in Sullom Voe and the surrounding areas since 1974 to determine the status of infaunal communities and seafloor sediments. For more information on SOTEAG and the types of monitoring they practice please see: <a href="https://soteag.org.uk/">https://soteag.org.uk/</a>. A full description of sampling methods can be found here: https://soteag.org.uk/environmental-monitoring/monitoring-reports/</p> <p>These published data are a subset of the original SOTEAG data. They were used in a 32-year analysis of benthic infaunal invertebrates to investigate changes in species and trait composition, as well as detect long-term temperature-related shifts in benthic species and communities. The manuscript is entitled “Multidecadal changes in coastal benthic species composition and ecosystem functioning occur independently of temperature-driven community shifts” by Armitage et al., 2024. It should be noted that many of these data are a subset of the original and may have been transformed or standardised for statistical analyses. Below is a description of each .csv file, and whether the data are primary or secondary data, and how they are used in the analyses for the published paper. For details on how the data were reduced, please see the publication. In summary, a total of 15 stations were selected with a biennial year range of 1986 – 2018. The depth range covered 4 – 58m, where stations were classified into shallow, intermediate, and deep depth groups. </p> <p><strong>Env.csv</strong></p> <p><em>Primary data</em>: The environmental data that were collected during sampling by SOTEAG. The data are in long format with each column denoting: Station, Year, Water depth (m), Gravel %, Sand %, Mud %, Grain size, Water temperature (ᵒC), and water salinity. </p> <p><strong>Indices.csv</strong></p> <p><em>Secondary data</em>: These data are the various species and functional indices created from an analysis using species and trait data. The data are in long format and have row names consisting of the station and year, as well as column headings species richness (sp.rich), total species abundance (abundance) species diversity: Shannon (shannon), species diversity: Simpson (simpson), species evenness (evenness), functional richness (FRic), functional evenneness (FEve), functional diversity, also knowns as dispersion (FDis), functional redundancy (Red) species vulnerability (Vul), sampled station (Station), year of sampling (Year), classified depth group (Depth_group), and the decade (Decade). </p> <p><strong>Species.csv</strong></p> <p><em>Primary data</em>: This is the SOTEAG species abundance/community list that has been reduced (rare species were removed, a subset of stations were selected, and data were averaged and standardised across replicates). </p> <p><strong>Species_classification_all.csv </strong></p> <p><em>Secondary data</em>: This is extra supporting information for the species list highlighting the taxonomic ranking (coloumns) and species (rows). </p> <p><strong>STI_and_EcoFun_per_sp.csv</strong></p> <p><em>Secondary data</em>: This is data produced from a combination of species abundance and traits. The first two columns are row ID and species names. Columns 3-12 describe five ecosystem functions with the calculations/methodology provided in the publication. These data show the mean and scaled (0-1) scores for each function. The column headings equate to bioturbation (Bio), sediment stability (Sed), nutrient recycling (NutR), low trophic position (lowTP), high trophic position (highTP). The following columns X0 – X100 represent the quantiles of temperature affinities, with 50 being the 50% mark. The last column is the number of records (nrec) related to the thermal affinity search. </p> <p><strong>STImacroSoteag.csv </strong></p> <p><em>Secondary data</em>: Species thermal affinities (methods described in publication) with the first two columns as row ID and species names. The following columns X0 – X100 represent the quantiles of temperature affinities, with 50 being the 50% mark. The last column is the number of records (nrec) related to the thermal affinity search. </p> <p><strong>Traits.csv</strong></p> <p><em>Primary data</em>: Trait data where each species is listed as a row and traits as a coloumn heading. For trait column names please see publication. Note that the ranges of scores given to a species affinity to a trait is 0-3, which may be split depening on the affinity of the species (i.e., fuzzy coding). </p> <p><strong>Traits_EcoF.csv</strong></p> <p><em>Secondary data</em>: This is data produced from a combination of species abundance and traits. The first two columns are row ID and species names. Columns represent the trait used for the calculation of the Ecosystem Function (please see equations 2 – 6 in the publication). The column headings equate to bioturbation (Bio), sediment stability (Sed), nutrient recycling (NutR), low trophic position (lowTP), high trophic position (highTP), while the trait abbreviations can be found in Table 1 of the publication. The scores follow the fuzzy coding approach highlighted above (Traits.csv). </p> <p><strong>TrendsVsSTIHats.csv</strong></p> <p><em>Secondary data</em>: Results from species thermal index analysis and used to plot figure 4 of the main publication. Data is in long format. </p> <p><strong>tsSSTdata.csv</strong></p> <p><em>Primary data:</em> Sea surface temperatures used in the species distribution model to fit species thermal indices. See publication for details (section 2.3). </p> <p><strong>Vulnerability.csv </strong></p> <p><em>Secondary data:</em> A species index that was a result from the main species abundance/community data. Index values are given for each species (rows) by station/year (columns). Community means of the index can be found in “indices.csv”.</p>
D-PLACE dataset derived from NASA TERRA/MODIS 'Net Primary Productivity'
<p>Cite the source of the dataset as:</p> <blockquote> <p>NASA. Net Primary Productivity (1 month - TERRA/MODIS)</p> </blockquote>
Primary in vivo screen for MAPK/ERK pathway inhibitors among 433 annotated oncology related compounds
<p>The aim was to test if a C. elegans model could identify known MEK inhibitors in a blinded screen of 433 annotated oncology related compounds. Primary hits were further validated for pathway specificity. Please see the paper cross-reference for more details.</p> <p>We bought a chemical library (SciLife lab, Stockholm, Sweden) with 433 oncology-related compounds (see table S1 for the full list), where compounds had been acoustically dispensed from 10 mM stocks into 96-well plates. DMSO concentrations were adjusted to 0.5 % in all wells, including negative controls. Trametinib was used as a positive control at 7 muM. All chemicals were kept at -20 degrees C until use. The C. elegans strain ST65 was used. We dispensed 50 muL of worm culture into each well and incubated animals for 4-5 days at 20 degrees C until DMSO control animals reached early adulthood. Animals were then sedated for 30 minutes by adding 4 muL 20 mM levamisole per well before scoring.<br><br>Primary hit selection: 1) Wells were excluded if they contained progeny or fluorescent specles from drugs or bacteria, indicated by too many objects classified as vulvae. The cutoff was set to vulvae >2x the number of adults in the positive control. 2) Wells were excluded they contained < 30 % adults compared to the positive control, indicative of severely reduced larval growth. 3) Remaining compounds with vulvae/adult scores < 0.4 were considered primary hits. Scoring of the Muv phenotype in adult lin-1(e1777) mutants was done manually from ImageXpress images. See the paper cross-reference for more details.</p>
Pre-post First Aid Interventional Program on Knowledge and Practice of Primary School Teachers in Governmental Basic Schools - River Nile State – Sudan
<p>Children spend most of the time in school where they are exposed to various types of injuries, which influence their present and future state of health. First aid is the treatment of any injury or illness before availability of medical aid. Teacher is the key person who can attend the children for injuries in school through complete knowledge regarding first aid. This study was done among primary school teachers to evaluate the effectiveness of education programon knowledge and practice regarding first aid. The objective of this study was to evaluate the effect of first aid health education program on knowledge, and practice of primary school teachers in River Nile. Pre and post interventional study design was used to evaluate the effect of first aid training program on knowledge and practice of primary school teachers . Data was derived from 45 respondents participating from AL-matama locality which selected by non-probability convenience sampling technique. Structural questionnaire for knowledge and checklist for practice of first aid practice. Data collected pre and immediate post implementation of first aid health education program. Data analyzed by SPSS version 25. Knowledge about first aid improved from Inadequate 44(97.8%), moderately adequate 1.0(2.2%) and adequate 0.0(0.0%) in pre intervention toInadequate 0.0(0.0%), moderately adequate 8.0(17.8%) and adequate 37(82.2%) post intervention, while also showed improvement in practice from inadequate 45(100%), moderately adequate 0.0(0.0%), and adequate 0.0(0.0%) in pre intervention toInadequate 0.0(0.0%), moderately adequate 4.0(8.9%) and adequate 41(91.1%) post intervention. Paired sample t-test revealed that the mean post-test knowledge score regarding first aidis significantly higher (77.25±3.53) than that of mean pretest knowledge score (39.57± 6.82) (P < 0.001)); mean posttest practice score was significantly higher (85.35 ± 7.29) then mean pretest practice score (30.56± 8.61) (P < 0.001). There is highly increased in Average Percent of correct Answers in knowledge and practice post intervention in relation to pre intervention in all first aid items, there is no significant correlation between education and knowledge practice score pre and post since p-value > 0.05.The result of the study showed effectiveness of the first aid health education program in improving teacher’s knowledge, and is highly effective in improving practice, supported hypotheses.</p>
Figure 8 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2-methoxyethanol
Figure 8. Treatment Group with resveratrol tempeh + 2-ME after induced by Beta-Amyloid (10 x10).
Figure 5 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2-methoxyethanol
Figure 5. Treatment group: 2- ME (10 x10).
Figure 9. Treatment Group with 2 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2-methoxyethanol
Figure 9. Treatment Group with 2-ME after induced by Beta-Amyloid (10 x10).
Figure 2 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2-methoxyethanol
Figure 2. Treatment group: 2- ME + Resveratrol Standard (10 x10).
Figure 1 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2-methoxyethanol
Figure 1. Control Group (10 x10).
Table 4 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2 - methoxyethanol
<p><b>Table 4.</b> Cytotoxic effect of various concentrations of Resveratrol and 2-Methoxyethanol Against Primary Neuron cell viability in MTT assay (570 nm).</p><table><tbody><tr><th><b>% Inhibition</b></th></tr></tbody><tbody><tr><th><b>Concentration of 2-Methoxyethanol</b></th><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td></tr><tr><th><b>and Resveratrol</b></th><td><b>Resveratrol (Standard)</b></td><td><b>Resveratrol (Tempeh)</b></td><td><b>Resveratrol (Soybean Seed Coat)</b></td></tr><tr><th>IC50</th><td>(17.38 ± 0.99 µg/mL)</td><td>(31.14 ± 0.02 µg/mL)</td><td>(13.40 ± 0.30 µg/mL)</td></tr><tr><th>1.4 (µg/mL)</th><td>12.57</td><td>0</td><td>11.98</td></tr><tr><th>2.8 (µg/mL)</th><td>4.59</td><td>1.75</td><td>17.03</td></tr><tr><th>4.2 (µg/mL)</th><td>0</td><td>0</td><td>0</td></tr></tbody></table>
Table 3 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2 - methoxyethanol
<p><b>Table 3.</b> Cytotoxic effect of various concentrations of Resveratrol and 2-Methoxyethanol Against Primary Neuron cell viability in MTT assay (540 nm).</p><table><tbody><tr><th><b>% Inhibition</b></th></tr></tbody><tbody><tr><th><b>Concentration of 2-Methoxyethanol</b></th><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td></tr><tr><th><b>and Resveratrol</b></th><td><b>Resveratrol (Standard)</b></td><td><b>Resveratrol (Tempeh)</b></td><td><b>Resveratrol (Soybean Seed Coat)</b></td></tr><tr><th>IC50</th><td>(17.64 ± 0.99 µg/mL)</td><td>(32.22 ± 1.18 µg/mL)</td><td>(17.43 ± 0.16 µg/mL)</td></tr><tr><th>1.4 (µg/mL)</th><td>11.8</td><td>0</td><td>7.95</td></tr><tr><th>2.8 (µg/mL)</th><td>5.27</td><td>0</td><td>14.41</td></tr><tr><th>4.2 (µg/mL)</th><td>0</td><td>0</td><td>0</td></tr></tbody></table>
Table 2 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2 - methoxyethanol
<p><b>Table 2.</b> Effect of Various concentrations of Resveratrol and 2-Methoxyethanol against Primary Neuron cell viability (570 nm).</p><table><tbody><tr><th><b>% Cell Viability</b></th></tr></tbody><tbody><tr><th><b>Concentration of 2-Methoxyethanol</b></th><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td></tr><tr><th><b>and Resveratrol</b></th><td><b>Resveratrol (Standard)</b></td><td><b>Resveratrol (Tempeh)</b></td><td><b>Resveratrol (Soybean Seed Coat)</b></td></tr><tr><th>1.4 (µg/mL)</th><td>87.43</td><td>100</td><td>88.02</td></tr><tr><th>2.8 (µg/mL)</th><td>95.41</td><td>98.25</td><td>82.97</td></tr><tr><th>4.2 (µg/mL)</th><td>100</td><td>100</td><td>100</td></tr></tbody></table>
Table 1 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2 - methoxyethanol
<p><b>Table 1.</b> Effect of Various concentrations of Resveratrol and 2-Methoxyethanol against Primary Neuron cell viability (540 nm).</p><table><tbody><tr><th><b>% Cell Viability</b></th></tr></tbody><tbody><tr><th><b>Concentration of 2-Methoxyethanol</b></th><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td></tr><tr><th><b>and Resveratrol</b></th><td><b>Resveratrol (Standard)</b></td><td><b>Resveratrol (Tempeh)</b></td><td><b>Resveratrol (Soybean Seed Coat)</b></td></tr><tr><th>1.4 (µg/mL)</th><td>88.2</td><td>100</td><td>92.05</td></tr><tr><th>2.8 (µg/mL)</th><td>94.73</td><td>100</td><td>85.59</td></tr><tr><th>4.2 (µg/mL)</th><td>100</td><td>100</td><td>100</td></tr></tbody></table>
Supporting information for: The Time Requirements for Primary Care Consultations: Initial Sick Child Visits in Low- and Middle-income Countries Using the Integrated Management of Childhood Illness (IMCI) Clinical Algorithm
<p>Few studies have examined the time required for primary care consultations; none have focused on sick child visits in low- and middle-income countries (LMICs). This project begins to fill that gap by providing evidence-based estimates of the time needed for initial visits with under-five infants and children at public or not-for-profit facilities in countries using the Integrated Management of Childhood Illness (IMCI) clinical algorithm.</p> <p>Estimates of the mean expected duration of IMCI consultations require (a) classification profiles, i.e., tabulations of the gold standard health issues presented by patients less than 5 years old; (b) lists of the tasks included in applicable versions of the IMCI algorithm and the conditions that elicit them, and (c) an estimate of the time needed to perform tasks with no pre-defined minimum duration. The latter requires, in addition to classification profiles, information on rates of task performance and the mean observed duration of consultations.</p> <p>The IMCI clinical algorithm and the research surrounding it provide unusually rich sources of such information. Developed in the mid 1990s by the World Health Organization and the United Nations Children’s Fund, the IMCI algorithm seeks to reduce child mortality in LMICs by improving the technical quality of primary care services. For infants less than 2 months old, the algorithm focuses on bacterial infections, feeding problems, low weight, and, in some versions, jaundice. For children 2-59 months old, the foci include acute respiratory infections, especially pneumonia; diarrhea; fevers, especially malaria and measles; malnutrition, and anemia. Immunization status is a concern for both age groups. The algorithm provides a scheme to classify the health issues with which infants and children present, an array of tasks providers may be expected perform, and criteria by which tasks are elicited. Research on the design and utility of the algorithm, its effects on provider performance, and related topics furnishes data on the prevalence of gold standard IMCI classifications in a variety of patient populations. In some cases, it also enables one to calculate the time required to perform tasks.</p> <p>I found such information by searching MEDLINE, the database of the International Network for Rational Use of Medicines, the websites of the WHO and its regional offices, GOOGLE, and GOOGLE SCHOLAR using search terms such as ‘Integrated Management of Childhood Illness’, ‘observational’, ‘prospective’, ‘classification’, ‘clinical signs’, ‘health facility survey’, and ‘validity’. I also reviewed studies that cited a qualified study and, conversely, material included in the bibliographies of qualified studies.</p> <p>The supplemental information files contain the following:</p> <p>WORKBOOK S1_STUDIES USED</p> <p>Lists features of, and sources for, the studies used to construct classification profiles and to estimate the time required to perform the average task with no predefined minimum duration. With 2 exceptions (see below, DATA S1 and DATA S2), all the studies have been published or are readily available on the internet. None of the data can be used to identify individuals.</p> <p>DATA S1_REPORT OF THE HEALTH FACILITY SURVEY IN BOTSWANA, 2007-08 and DATA S2_REPORT OF THE HEALTH FACILITY SURVEY IN TANZANIA, 2003</p> <p>PDF files of Health Facility Survey reports that were found on the internet but have since been taken down.</p> <p>DATA S3_BURKINA FASO CHART BOOKLET, 2015</p> <p>PDF provided <span>Drs. Sophie Sarrassat (London School of Hygiene and Tropical Medicine) and Serge M. A. Somda (Université Nazi BONI).</span></p> <p>WORKBOOK S2_CLASSIFICATION PROFILES: INFANTS; WORKBOOK S3_CLASSIFICATION PROFILES: CHILDREN IN UPPER MIDDLE-INCOME COUNTRIES; WORKBOOK S4_CLASSIFICATION PROFILES: CHILDREN IN LOWER MIDDLE-INCOME COUNTRIES (I); WORKBOOK S5_CLASSIFICATION PROFILES: CHILDREN IN LOWER MIDDLE-INCOME COUNTRIES (II), and WORKBOOK S6_CLASSIFICATION PROFILES: CHILDREN IN LOW INCOME COUNTRIES </p> <p>The design of the worksheets in these workbooks is described in TEXT S1_NOTES OF THE CONSTRUCTION OF CLASSIFICATION PROFILES (see below).</p> <p>WORKBOOK S7_IMCI CLINICAL TASKS</p> <p>Lists the clinical tasks provided by relevant IMCI algorithms for the care of infants and children. Consists of 6 worksheets covering mandatory tasks, conditional assessments, and treatment and counseling tasks for infants and children.</p> <p>WORKBOOK S8_MINUTES PER TASK WITH NO MINIMUM DURATION</p> <p>Provides estimate of the mean time required to perform a task with no minimum duration for each of 7 populations for which the required data are available, corrected, where necessary, for the effect of an observer on the rate and pace of task performance. Also provides a geometric mean for all 7 populations.</p> <p>TEXT S1_NOTES ON METHODOLOGY</p> <p>WORD document describing the steps involved in estimating the expected durations of consultations.</p> <p>TEXT S2_NOTES OF THE CONSTRUCTION OF CLASSIFICATION PROFILES</p> <p>WORD document describing the steps involved in constructing each profile, problems encountered, and how they were solved.</p> <p>TEXT S3_NOTES ON THE IDENTIFICATION OF IMCI CLINICAL TASKS</p> <p>WORD document describing the standards used in identifying clinical tasks in IMCI algorithms.</p> <p>TEXT S4_NOTES ON THE ESTIMATION OF MINUTES PER TASK WITH NO MINIMUM DURATION</p> <p>WORD document describing the steps involved in estimating the mean time required to perform a task with no predefined minimum duration, problems encountered, and how they were solved.</p>
Assessing the feasibility and acceptability of a pre-clinic vital signs assessment in primary care: a pilot study.
Open the record for dataset details and reuse information.
The gross primary productivity and leaf area index from TRENDY v7 project
<p>The gross primary productivity and leaf area index from TRENDY v7 DGVMs S3, including:</p> <p>CABLE-POP</p> <p>CLASS-CTEM</p> <p>CLM5.0</p> <p>DLEM</p> <p>JSBACH</p> <p>JULES</p> <p>LPX</p> <p>OCN</p> <p>ORCHIDEE</p> <p>ORCHIDEE-CNP</p> <p>SDGVM</p> <p>SURFEX</p> <p>VISIT</p>
Primary data for Manuscript provisionally titled Stereoselective access to bioactive cyclopropanes (+)-PPCC and (1R,2S)-2-aminomethyl-1-arylcyclopropane-1-carboxamides from (−)-levoglucosenone
<p><span>Contains HRMS and FID data for compounds described in the manuscript titled, "<span>Stereoselective access to bioactive cyclopropanes (+)-PPCC and (1<em><span>R</span></em>,2<em><span>S</span></em>)-2-aminomethyl-1-arylcyclopropane-1-carboxamides from (−)-levoglucosenone"</span></span></p> <p><span>FIDs can be opened using SpinWorks or Topspin programs.</span></p> <p> </p>
Primary data for manuscript provisionally titled, "Fluorination-homologation of the biomass derivative Cyrene"
<p>Primary NMR FID files and HRMS data collected for compounds described in the manuscript, "Fluorination-homologation of the biomass derivative Cyrene."</p> <p>This material can be opened and processed using Topspin or Spinworks programs. </p>
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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.