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1,351 results for “Intermediates”
Linear Registration of brain MRI using knowledge-based multiple intermediator libraries
<p>These are the dataset materials, including full data, resampled data, transformation matrices, experimental results and quantitative evaluation for the paper “Linear Registration of brain MRI using knowledge-based multiple intermediator libraries” that is submitted on the Journal of "Frontiers in Neuroscience".</p>
Fig. 2 in The morphological and molecular identification of the tapeworm, Taenia lynciscapreoli, in intermediate and definitive hosts in Poland
Fig. 2. Measurement scheme used to measure rostellar hooks.
Dataset: Catalytic pyrolysis mechanism of lignin moieties driven by aldehyde, hydroxyl, methoxy, and allyl functionalization: the role of reactive quinone methide and ketene intermediates
<p>The derived data is part of a manuscript submitted to the journal Green Chemistry, entitled "Catalytic pyrolysis mechanism of lignin moieties driven by aldehyde, hydroxyl, methoxy, and allyl functionalization: the role of reactive quinone methide and ketene intermediates". [DOI https://doi.org/10.1039/d4gc03143a. This work is supported by the Swiss National Science Foundation (project number 200021_178952)</p> <p>Raw data can be found: https://doi.org/10.16907/1ac46f03-6e1b-4230-b5c0-3df2cec87b5e</p> <p>The raw Photoelectron Photoion Coincidence (PEPICO) data were obtained during catalytic fast pyrolysis of eugenol, vanillin, syringol over H-ZSM-5 and HFAU. The analysis software can be obtained from: https://www.psi.ch/en/sls/vuv/pepico. The folders contain mass spectra and threshold photoelectron raw data at different reactor temperatures.</p>
Intermediate Data Files for Amygdala and Posterior Piriform Cortex RNA-ATAC Analysis
<p>### Description of Data Files</p> <p>This dataset contains intermediate data files generated for the analysis of RNA and ATAC sequencing data from the amygdala and posterior piriform cortex. The files include ATAC-seq peak data, LOESS regression results, differential expression analysis, Gene Ontology (GO) analysis results, marker gene lists, and Seurat objects for further integrative analysis. Scripts and computational workflow can be found at https://github.com/karmaout/SOC_Multiomic_sequencing.</p> <table> <tbody> <tr> <th><strong>Filename</strong></th> <th><strong>Description</strong></th> </tr> <tr> <td>PC_PR_Pyramidal_cfos_positive_atac.bed</td> <td>BED file containing ATAC-seq peaks for cfos-positive VGLUT1a neurons in the PC under PR conditions.</td> </tr> <tr> <td>BLA_PR_VGLUT1_cfos_positive_atac.bed</td> <td>BED file with ATAC-seq peaks for cfos-positive VGLUT1 neurons in the BLA under PR conditions.</td> </tr> <tr> <td>PC_PE_Pyramidal_cfos_negative_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-negative VGLUT1a neurons in the PC under PE conditions.</td> </tr> <tr> <td>PC_PR_loess_regression_data.csv</td> <td>CSV file containing data for LOESS regression analysis in the PC under PR conditions.</td> </tr> <tr> <td>BLA_cfos_percentages_raw_data.csv</td> <td>Raw data of cfos expression percentages in different neuron populations in the BLA.</td> </tr> <tr> <td>PC_PE_loess_regression_data.csv</td> <td>LOESS regression data for the PC under PE conditions.</td> </tr> <tr> <td>PC_neuron_cluster_markers.csv</td> <td>CSV file listing marker genes for PC neuron clusters.</td> </tr> <tr> <td>BLA_PE_VGLUT1_cfos_positive_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-positive VGLUT1 neurons in the BLA under PE conditions.</td> </tr> <tr> <td>BLA_PR_VGLUT1_cfos_negative_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-negative VGLUT1 neurons in the BLA under PR conditions.</td> </tr> <tr> <td>BLA_Subcluster_Differential_Expression_Results(with Fos).xlsx</td> <td>Differential expression results for BLA subclusters with Fos gene.</td> </tr> <tr> <td>PC_Aggregation.csv</td> <td>Aggregated data for PC neurons, summarizing key statistics or metrics.</td> </tr> <tr> <td>PC_Subcluster_Differential_Expression_Results_PC(with Fos).xlsx</td> <td>Differential expression results for PC subclusters with Fos gene.</td> </tr> <tr> <td>PC_cfos_percentages_raw_data.csv</td> <td>Raw percentages of cfos expression in different PC neuron subclusters.</td> </tr> <tr> <td>PC_PE_Pyramidal_cfos_positive_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-positive Pyramidal neurons in the PC under PE conditions.</td> </tr> <tr> <td>PC_PR_Pyramidal_cfos_negative_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-negative Pyramidal neurons in the PC under PR conditions.</td> </tr> <tr> <td>BLA_PR_loess_regression_data.csv</td> <td>LOESS regression analysis data for the BLA under PR conditions.</td> </tr> <tr> <td>BLA_GO_analysis_results_all_combined.xlsx</td> <td>Combined Gene Ontology (GO) analysis results for BLA neuron populations.</td> </tr> <tr> <td>PC_GO_analysis_results_all_combined.xlsx</td> <td>Combined GO analysis results for PC neuron populations.</td> </tr> <tr> <td>BLA_PR_anno_sorted_foldchange.txt</td> <td>Annotated fold change data for BLA under PR conditions.</td> </tr> <tr> <td>BLA_PE_anno_sorted_foldchange.txt</td> <td>Annotated fold change data for BLA under PE conditions.</td> </tr> <tr> <td>PC_PR_anno_sorted_foldchange.txt</td> <td>Annotated fold change data for PC under PR conditions.</td> </tr> <tr> <td>PC_PE_anno_sorted_foldchange.txt</td> <td>Annotated fold change data for PC under PE conditions.</td> </tr> <tr> <td>BLA_PE_loess_regression_data.csv</td> <td>Data from LOESS regression analysis in the BLA under PE conditions.</td> </tr> <tr> <td>BLA_PE_VGLUT1_cfos_negative_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-negative VGLUT1 neurons in the BLA under PE conditions.</td> </tr> <tr> <td>BLA_neuron_cluster_markers.csv</td> <td>Marker genes for various neuron clusters in the BLA.</td> </tr> <tr> <td>BLA_Aggregation.csv</td> <td>Aggregated data for BLA neurons, summarizing key metrics or statistics.</td> </tr> <tr> <td>BLA_neurons.rds</td> <td>RDS file of the Seurat object for BLA neurons containing RNA and ATAC analysis.</td> </tr> <tr> <td>PC_neurons.rds</td> <td>RDS file of the Seurat object for PC neurons with integrated RNA and ATAC data.</td> </tr> <tr> <td>BLA_matrix-scan.ft.txt</td> <td>Matrix scan results for motif analysis in the BLA.</td> </tr> <tr> <td>PC_coord_anno.txt</td> <td>Annotated genomic coordinates for PC, used for integrative analysis.</td> </tr> <tr> <td>BLA_coord_anno.txt</td> <td>Annotated genomic coordinates for BLA.</td> </tr> <tr> <td>PC_matrix-scan.ft.txt</td> <td>Matrix scan results for motif analysis in the PC.</td> </tr> </tbody> </table>
Figure 2 in The life cycle of Diploproctodaeum arothroni Bray and Nahhas, 1998 (Digenea: Lepocreadiidae), with a comment on the parasitic castration of its molluscan intermediate host
Figure 2. Fully gravid worm of Diploproctodaeum arothroni Bray and Nahhas, 1998. Scale bar: 500 Mm.
Spectroscopic data and DFT coordinates for "The three-spin intermediate at the O–O cleavage and proton pumping junction in heme–Cu oxidases"
<p>This dataset includes spectroscopic data and atomic coordinates of DFT structures in the manuscript titled "The three-spin intermediate at the O–O cleavage and proton pumping junction in heme–Cu oxidases". Spectroscopic data included are from magnetic circular dichroism (MCD), variable-temperature variable-field MCD, absorption and resonance Raman spectroscopies.</p>
Structures of reaction intermediates of the NAAG hydrolysis by glutamate carboxypeptidase II
<p>Representative frames from the molecular dynamics simulations in the regions of minima along the reaction path calculated at the QM(PBE0-D3/6-31G**)/MM(AMBER) level.</p>
The Evolution of Intermediate Mass Stars
<p>Intermediate mass stars (M ~ 2.0 - 3.0 Msun) provide interesting constraints on stellar rotation and evolution because they live in an important transitional regime. Like massive stars, they rotate rapidly on the main sequence and have convective cores. However, they evolve to become secondary clump stars, where their structure and internal rotation can be measured with the tools of red giant asteroseismology developed for lower mass stars. We have used these tools to track these stars as they evolve, and measured their rotation, activity, and chemical mixing in various phases. I will demonstrate that the slow rotation rates of these stars provide conclusive evidence for some combination of strong post-main-sequence angular momentum loss and differential rotation with depth in convective envelopes, and discuss their core-envelope coupling as a function of time. Finally, I will discuss the relationships between rotation, activity, and mixing in these stars, and their implications for the broader population of massive stars.</p>
C-iTraCE Modeled proportion of Pacific intermediate waters
<p><strong>The proportion of water masses from the north Pacific (NP) and Southern Ocean (SO) at 500–700 m water depth during the last glacial maximum (LGM), Heinrich 1 and Antarctic Cold Reversal (ACR) modeled by C-iTraCE</strong></p>
No evidence for schistosome parasite fitness trade-offs in the intermediate and definitive host - Phenotype dataset
<p>The present dataset contains all the phenotype data (.csv files) and R scripts used for data analysis, and to generated the figures (Figures 2 to 5) present in the manuscript entitled "No evidence for schistosome parasite fitness trade-offs in the intermediate and definitive host".</p> <p>The uploaded archive (.zip) contains 4 folders corresponding to the 4 Figures present in the manuscript (Figure 2, Figure 3, Figure 4 and Figure 5). Each folder contains the phenotype data tables (.csv files), a R script used to analyze the data and to generate the Figures and a readme file, explaining how the phenotype data tables are organized.</p>
Data Set for Operando Identification of a Side-On Nickel Superoxide Intermediate and the Mechanism of Oxygen Evolution on Nickel Oxyhydroxide
<p>Dataset of the paper entitled "Operando Identification of a Side-On Nickel Superoxide Intermediate and the Mechanism of Oxygen Evolution on Nickel Oxyhydroxide"</p>
Reducing pesticides without organic certification? Potentials and limits of an intermediate form of agricultural production
<p><span>A growing number of farmer cooperatives cultivate crops without chemical pesticides, but also without organic certification. How does this intermediate form of agriculture between conventional and organic production function? What are the outcomes of this production form on cropland biodiversity? How does this model contribute to the transition toward more sustainable forms of agriculture? We address these research questions using original data collected in the AgroBioDiv project from the farmers' cooperative "KraichgauKorn" based in the German State of Baden-Württemberg. This cooperative is a collection of conventional farmers, who refrain from pesticide use during cultivation periods for KraichgauKorn grains, with products being produced without pesticide inputs in the growing season. Our study finds higher levels of weed species biodiversity on KGK cereal fields compared to conventional fields, but lower than organic fields. In addition, more endangered wild species monitored by the State of Baden-Württemberg were found on KGK fields than on conventional fields, with organic fields exhibiting the highest presence of endangered flora. We conclude that such kinds of enterprises may indeed contribute substantially to a successful transformation toward sustainable agricultural systems. </span></p>
CorALS - Intermediate data for figure replication
<p>Intermediate data for replicating figures of the CorALS manuscript.</p>
Calibrating angular momentum transport in intermediate-mass stars from gravity-mode asteroseismology
<p>Best-matching MESA stellar evolution models and GYRE stellar pulsation models of the seven stars presented in Mombarg (2023).</p> <p>'MESA_inlist_template_for_GYRE' is the inlist for MESA to compute the models used for the asteroseismic modelling, 'GYRE_inlist_template.in' is the inlist for GYRE to compute the eigenmodes. </p> <p>'MESA_inlist_template_AM_transport' is the inlist for MESA to compute rotating models with angular momentum transport that were used to predict the near-core and surface rotation frequencies.</p>
Output files from SPEEDY v.42 ensembles described in the paper: "Multi-decadal pacemaker simulations with an intermediate-complexity climate model" by F. Molteni, F. Kucharski and R. Farneti (part 1 of 2)
<p>The monthly-mean output from SPEEDY v.42 ensembles (either driven by prescribed sea-surface temperature (SST) or coupled to the TOM3 model) consists of a series of IEEE little-endian binary files and metadata files in text format.<br> For each year of integration (indicated by a 4-digit number YYYY) and ensemble member (indicated by a 3-digit number NNN), two binary files are present, named:<br> • attmNNN_YYYY.grd, including data on the 120x60 grid-point atmospheric grid;<br> • sftmNNN_YYYY.grd, including data on the 360x180 grid-point surface grid.<br> The metadata for these files are contained in the text files <strong>attmEEE.ctl</strong> and <strong>sftmEEE.ctl</strong> respectively, where EEE is a 3-digit ensemble identifier (usually, but not necessarily, equal to one of the ensemble-member number NNN).</p> <p><br> This repository contains data from:</p> <ul> <li>(part 1) a 41-year 5-member ensemble (653) run with prescribed SST</li> <li>(part 2) a 70-year 5-member ensemble (104) run with the coupled SPEEDY-TOM3 model.</li> </ul> <p>Integration years are 1980 to 2020 for ensemble 653 and 1951 to 2020 for ensemble 104.</p> <p><br> The structure of the binary data and metadata files follows the conventions for gridded datasets set by the GrADS diagnostic and plotting package (developed by the Center for Ocean-Land-Atmosphere Studies of George Mason University), as described here:<br> http://cola.gmu.edu/grads/gadoc/aboutgriddeddata.html</p> <p><br> In addition to the COLA-GMU web site, free version of the GrADS package for different platforms can be downloaded from the OpenGrADS web site:<br> http://opengrads.org/</p> <p><br> Specifically, the SPEEDY v.42 output consists of sequential-access files where each record contains a two-dimensional field. Three-dimensional fields are stored as a sequence of consecutive records, one for each of the 8 pressure levels where model-level data are interpolated by the post-processing routines. For each month of the year:</p> <p><br> the <strong>attmNNN_YYYY.grd</strong> files contain a sequence of <strong>9 3-D variables and 26 2-D variables</strong>;<br> the <strong>sftmNNN_YYYY.grd</strong> files contain a sequence of <strong>21 2-D variables</strong>.</p> <p>Within each record, grid-point data are stored as a NLONxNLAT array with longitude varying from west to east and latitude varying from south to north. The list of variables and levels is specified in the <strong>attmEEE.ctl</strong> and s<strong>ftmEEE.ctl</strong> files. These files contain descriptors which allow the data of each ensemble to be accessed as a single dataset by the GrADS package.</p> <p>Although the metadata files are specific to the GrADS package, the binary data can be read by different types of code. As example of fortran90 instructions to read the content of the <strong>attmNNN_YYY.grd</strong> and <strong>sftmNNN_YYY.grd</strong> files for one year/ens.member is as follows:</p> <p>integer, parameter :: nlon=120<br> integer, parameter :: nlat=60<br> integer, parameter :: nlev=8<br> integer, parameter :: nlon0=360<br> integer, parameter :: nlat0=180</p> <p>integer :: jmonth, jvar3d, jvar2d, jlev<br> real :: fld3d(nlon,nlat,nlev)<br> real :: fld2d(nlon,nlat), fld0(nlon0,nlat0)</p> <p>open (unit=1, file=”attmNNN_YYY.grd”, form=”formatted”, access=”sequential”)<br> open (unit=2, file=”sftmNNN_YYY.grd”, form=”formatted”, access=”sequential”)</p> <p>do jmonth=1,12</p> <p> do jvar3d=1,9<br> do jlev=1,nlev<br> read (1) fld3d(:,:,jlev)<br> …………<br> enddo<br> enddo</p> <p> do jvar2d=1,26<br> read (1) fld2d(:,:)<br> ………<br> enddo</p> <p> do jvar2d=1,21<br> read (2) fld0(:,:)<br> ………<br> enddo</p> <p>enddo</p> <p>close (1)<br> close (2)</p> <p> </p> <p> </p>
Output files from SPEEDY v.42 ensembles described in the paper: "Multi-decadal pacemaker simulations with an intermediate-complexity climate model" by F. Molteni, F. Kucharski and R. Farneti (part 2 of 2)
<p>The monthly-mean output from SPEEDY v.42 ensembles (either driven by prescribed sea-surface temperature (SST) or coupled to the TOM3 model) consists of a series of IEEE little-endian binary files and metadata files in text format.<br> For each year of integration (indicated by a 4-digit number YYYY) and ensemble member (indicated by a 3-digit number NNN), two binary files are present, named:<br> • attmNNN_YYYY.grd, including data on the 120x60 grid-point atmospheric grid;<br> • sftmNNN_YYYY.grd, including data on the 360x180 grid-point surface grid.<br> The metadata for these files are contained in the text files <strong>attmEEE.ctl</strong> and <strong>sftmEEE.ctl</strong> respectively, where EEE is a 3-digit ensemble identifier (usually, but not necessarily, equal to one of the ensemble-member number NNN).</p> <p><br> This repository contains data from:</p> <ul> <li>(part 1) a 41-year 5-member ensemble (653) run with prescribed SST</li> <li>(part 2) a 70-year 5-member ensemble (104) run with the coupled SPEEDY-TOM3 model.</li> </ul> <p>Integration years are 1980 to 2020 for ensemble 653 and 1951 to 2020 for ensemble 104.</p> <p><br> The structure of the binary data and metadata files follows the conventions for gridded datasets set by the GrADS diagnostic and plotting package (developed by the Center for Ocean-Land-Atmosphere Studies of George Mason University), as described here:<br> http://cola.gmu.edu/grads/gadoc/aboutgriddeddata.html</p> <p><br> In addition to the COLA-GMU web site, free version of the GrADS package for different platforms can be downloaded from the OpenGrADS web site:<br> http://opengrads.org/</p> <p><br> Specifically, the SPEEDY v.42 output consists of sequential-access files where each record contains a two-dimensional field. Three-dimensional fields are stored as a sequence of consecutive records, one for each of the 8 pressure levels where model-level data are interpolated by the post-processing routines. For each month of the year:</p> <p><br> the <strong>attmNNN_YYYY.grd</strong> files contain a sequence of <strong>9 3-D variables and 26 2-D variables</strong>;<br> the <strong>sftmNNN_YYYY.grd</strong> files contain a sequence of <strong>21 2-D variables</strong>.</p> <p>Within each record, grid-point data are stored as a NLONxNLAT array with longitude varying from west to east and latitude varying from south to north. The list of variables and levels is specified in the <strong>attmEEE.ctl</strong> and s<strong>ftmEEE.ctl</strong> files. These files contain descriptors which allow the data of each ensemble to be accessed as a single dataset by the GrADS package.</p> <p>Although the metadata files are specific to the GrADS package, the binary data can be read by different types of code. As example of fortran90 instructions to read the content of the <strong>attmNNN_YYY.grd</strong> and <strong>sftmNNN_YYY.grd</strong> files for one year/ens.member is as follows:</p> <p>integer, parameter :: nlon=120<br> integer, parameter :: nlat=60<br> integer, parameter :: nlev=8<br> integer, parameter :: nlon0=360<br> integer, parameter :: nlat0=180</p> <p>integer :: jmonth, jvar3d, jvar2d, jlev<br> real :: fld3d(nlon,nlat,nlev)<br> real :: fld2d(nlon,nlat), fld0(nlon0,nlat0)</p> <p>open (unit=1, file=”attmNNN_YYY.grd”, form=”formatted”, access=”sequential”)<br> open (unit=2, file=”sftmNNN_YYY.grd”, form=”formatted”, access=”sequential”)</p> <p>do jmonth=1,12</p> <p> do jvar3d=1,9<br> do jlev=1,nlev<br> read (1) fld3d(:,:,jlev)<br> …………<br> enddo<br> enddo</p> <p> do jvar2d=1,26<br> read (1) fld2d(:,:)<br> ………<br> enddo</p> <p> do jvar2d=1,21<br> read (2) fld0(:,:)<br> ………<br> enddo</p> <p>enddo</p> <p>close (1)<br> close (2)</p>
Size and shape data of Globigerinoidesella fistulosa, Trilobatus sacculifer and intermediate specimens from ODP Site 1115
<p><span>Planktonic foraminifera are extremely well-suited to study evolutionary processes in the fossil record due to their high-resolution deposits and global distribution. Species are typically conservative in their shell morphology with the same geometric shapes appearing repeatedly through iterative evolution, but the mechanisms behind the architectural limits on foraminiferal shell shape are still not well understood. To understand when and how these developmental constraints can be overcome, we study morphological change leading up to the origination of the unusually ornate species <em>Globigerinoidesella</em> <em>fistulosa</em>. Our results show that the origination of<em> G. fistulosa</em> from the <em>Trilobatus sacculifer </em>plexus involved an amalgamation of three different heterochronic expressions: addition of chambers (hypermorphosis), earlier onset of protuberances (pre-displacement), and steeper allometric slope (acceleration) as compared to its ancestor. We argue that the protuberances unique to <em>G. fistulosa</em> were necessary to sustain a surface-area: volume ratio that could host sufficient numbers of photosymbionts. Our work provides a case study of the complex combination of processes required to produce unusual shell shapes and highlights the importance of developmental processes in evolutionary origination. </span></p>
Effect of climate-change-induced increases on the range of rice-barley double cultivation on the intermediate egret
<p><span>Intensification of cultivation methods and land use types, particularly in the face of climate change, has steadily weakened the habitat function of rice fields for waterbirds.</span></p> <p><span>Intermediate egrets (<em>Ardea intermedia</em>) are highly dependent on rice field habitats. Here, we examine the effect of a shift from rice monoculture to rice–barley double cultivation on the use of rice fields by intermediate egrets in South Korea. Rice</span><span>-</span><span>barley double cultivation has been increasing steadily in the southern region of South Korea due to changes in the rice growth period under climate change and maximization of economic benefits.</span></p> <p><span>We studied rice fields to determine the effect of the rice-barely double cultivation area on the abundance of intermediate egrets on the regional scale and their potential distribution pattern in response to double cultivation in relation to climate change using national-scale climate, altitude, and land cover data from May 1 to June 23, 2018.</span></p> <p><span>Compared to the irrigation practices used for rice monoculture, irrigation was stopped for some time in rice-barley double cultivation prior to planting, compromising the role of rice fields as a food ground for intermediate egrets. The potential abundance of intermediate egrets rapidly decreased by half when the double cultivation area increased to >40% of the total rice-field area, and was less than one individual if the area increased to >80%. Furthermore, according to climate change projections, by 2100, the double cultivation area would account for 75.74% of the predicted range of intermediate egret foraging ground.</span></p> <p><em><strong><span>Synthesis and applications.</span></strong></em><span> Double cultivation areas should be <40% of existing rice fields to minimize the impact of the change in cultivation practices. This approach can also convert rice fields to other types of land use. Consequently, appropriate conservation and management measures may be developed to maintain suitable habitats despite rapidly changing cultivation practices resulting from climate change.</span></p>
A weak subducting slab at intermediate depths below northeast Japan
<p>Knowledge of the state of stress in subducting slabs is essential for understanding their mechanical behavior and the physical processes that generate earthquakes. Here we develop a novel framework that uses a high-resolution focal mechanism catalog to determine, for the first time, the full deviatoric stress tensor within the subducting slab at intermediate depths. We show that by combining the static stress calculated from coseismic slip distributions with the stress orientations before and after the mainshock, that deviatoric stress within the slab at intermediate depths must be very low ( ∼ 1 MPa). These results preclude earthquake source mechanisms that require large background driving stresses, favoring a mechanically weak subducting slab, thus providing quantitative constraints on the physical processes that generate intermediate-depth earthquakes.</p>
A Study of the Safety and Efficacy of a New Treatment for Non-Infectious Intermediate or Posterior Uveitis
ClinicalTrials.gov study NCT00333814. IPD Sharing: Not stated. Countries: 18. Publications: 3.
ScienceDex guides
Understand access before you commit
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.