Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,112
datasets available to search
ShareScore release 0.9.0
Dataset results
1,112 results for “effector”
Dataset related to article "CXCR3 Identifies Human Naive CD8+ T Cells with Enhanced Effector Differentiation Potential."
<p>In mice, the ability of naive T (T<sub>N</sub>) cells to mount an effector response correlates with TCR sensitivity for self-derived Ags, which can be quantified indirectly by measuring surface expression levels of CD5. Equivalent findings have not been reported previously in humans. We identified two discrete subsets of human CD8<sup>+</sup> T<sub>N</sub> cells, defined by the absence or presence of the chemokine receptor CXCR3. The more abundant CXCR3<sup>+</sup> T<sub>N</sub> cell subset displayed an effector-like transcriptional profile and expressed TCRs with physicochemical characteristics indicative of enhanced interactions with peptide-HLA class I Ags. Moreover, CXCR3<sup>+</sup> T<sub>N</sub> cells frequently produced IL-2 and TNF in response to nonspecific activation directly ex vivo and differentiated readily into Ag-specific effector cells in vitro. Comparative analyses further revealed that human CXCR3<sup>+</sup> T<sub>N</sub> cells were transcriptionally equivalent to murine CXCR3<sup>+</sup> T<sub>N</sub> cells, which expressed high levels of CD5. These findings provide support for the notion that effector differentiation is shaped by heterogeneity in the preimmune repertoire of human CD8<sup>+</sup> T cells.</p>
Data_Two sources of task prioritization: The interplay of effector-based and task order-based capacity allocation in the PRP paradigm
<p>Data of 'Two sources of task prioritization: The interplay of effector-based and task order-based capacity allocation in the PRP paradigm' Hoffmann, Pieczykolan, Koch, & Huestegge, comparing RT data and error rates of oculomotor, vocal, and manual responses in a PRP setting</p>
Gaze-dependent Coding of Somatosensory Reach Targets after Effector Movement: Testing the Impact of Online Information, Movement Timing, and Target Distance
<p>The uploaded files contain data as SPSS data files (.sav) and tab delimited (.csv) textfiles as well as the respective variable desriptions as images (.png). In particular, I uploaded 1) the raw data, 2) the means of reach errors which we analyzed by repeated-measures ANOVA, and 3) the means of ellipse sizes on which repeated-measures ANOVA of precision were based.</p> <p>After publication of the article, I also uploaded the reported analyses and corresponding datafiles (plus some more material) here: </p> <p>https://doi.org/10.5281/zenodo.821307</p>
Dataset used in "Helper NLR immune protein NRC3 evolved to evade inhibition by a cyst nematode virulence effector"
<p><strong>[Figs 1 and S2]</strong></p> <p> </p> <p><strong>00_cloned_NRC123.fasta</strong></p> <p> </p> <p>FASTA file containing NRC1, NRC2 and NRC3 sequences tested in HR cell death assay.</p> <p> </p> <p><strong>01_NRCX0123_4species.fasta</strong></p> <p> </p> <p>FASTA file containing NRC0, NRC1, NRC2, NRC3 and NRCX of <em>N. benthamiana</em>, <em>C. annuum</em> (pepper), <em>S. tuberosum</em> (potato) and <em>S. lycopersicum</em> (tomato). In addition to a previously published dataset (Selvaraj et al., 2023), we included the NbNRC2, CaNRC3 and StNRC3 sequences from 00_cloned_NRC123.fasta.</p> <p> </p> <p><strong>02_NRCX0123_4species.local_aln.fasta</strong></p> <p> </p> <p>FASTA file containing the protein sequence alignment of 01_NRCX0123_4species.fasta. We used MAFFT for the alignment (Katoh & Standley, 2013).</p> <p> </p> <p><strong>03_NRCX0123_4species.local_aln.clip.fasta</strong></p> <p> </p> <p>FASTA file containing the trimmed protein sequence alignment of 02_NRCX0123_4species.local_aln.fasta. We used ClipKIT for trimming (Steenwyk et al., 2020).</p> <p> </p> <p><strong>04_NRCX0123_4species.local_aln.clip.fasta.treefile</strong></p> <p><strong> </strong></p> <p>Newick file containing the phylogenetic tree reconstructed based on 03_NRCX0123_4species.local_aln.clip.fasta. We used IQ-TREE to create a phylogenetic tree (Minh et al., 2020).</p> <p> </p> <p><strong>[Fig 2B]</strong></p> <p><strong> </strong></p> <p><strong>05_cloned_NRC123.local_aln.fasta</strong></p> <p><strong> </strong></p> <p>FASTA file containing the protein sequence alignment of 00_cloned_NRC123.fasta. We used MAFFT for the alignment (Katoh & Standley, 2013).</p> <p> </p> <p><strong>[Fig 5 and Table S1]</strong></p> <p> </p> <p><strong>06_NRCH_cds_23-06-20.min2400max2800.fasta</strong></p> <p><strong> </strong></p> <p>FASTA file containing the nucleotide sequences of helper NRC sequences from 124 Solanaceae genomes (Sugihara et al., 2023; Huang et al., 2023). We filtered out sequences shorter than 2,400 or longer than 2,800 bases, resulting in 1,748 sequences.</p> <p> </p> <p><strong>07_NRCH_cds_23-06-20.min2400max2800.aa.fasta</strong></p> <p> </p> <p>FASTA file of the amino acid sequences translated from 06_NRCH_cds_23-06-20.min2400max2800.fasta.</p> <p> </p> <p><strong>08_NRCH_cds_23-06-20.min2400max2800.aa.NBARC.fasta</strong></p> <p> </p> <p>FASTA file containing the amino acid sequences of NB-ARC module corresponding to the sequences in 07_NRCH_cds_23-06-20.min2400max2800.aa.fasta.</p> <p> </p> <p><strong>09_NRCH_cds_23-06-20.min2400max2800.aa.NBARC.local_aln.clip.fasta</strong></p> <p> </p> <p>FASTA file containing the trimmed protein sequence alignment of 02_NRCX0123_4species.local_aln.fasta. We used MAFFT and ClipKIT for the alignment and trimming, respectively (Katoh & Standley, 2013; Steenwyk et al., 2020).</p> <p> </p> <p><strong>10_NRCH_cds_23-06-20.min2400max2800.aa.NBARC.local_aln.clip.fasta.treefile</strong></p> <p> </p> <p>Newick file containing the phylogenetic tree reconstructed based on 09_NRCH_cds_23-06-20.min2400max2800.aa.NBARC.local_aln.clip.fasta. We used IQ-TREE to create a phylogenetic tree (Minh et al., 2020).</p> <p> </p> <p><strong>11_NRCX123_cds_23-06-20.min2400max2800.fasta</strong></p> <p> </p> <p>FASTA file containing the the nucleotide sequences of NRC1/2/3X clades identified based on 10_NRCH_cds_23-06-20.min2400max2800.aa.NBARC.local_aln.clip.fasta.treefile.</p> <p> </p> <p><strong>12_NRCX123_nt_codon_ancseq_v1.2.1.zip</strong></p> <p> </p> <p>Results of ancestral sequence reconstruction. We used ancseq to perform ancestral sequence reconsturction (Sugihara, 2024). "NRCX123_cds_23-06-20.min2400max2800.nt_codon.local_aln.manual.clip.uniq.rm_4sp.fasta" is an input alignment and "NRCX123_cds_23-06-20.min2400max2800.nt_codon.local_aln.manual.clip.uniq.rm_4sp.fasta.treefile" is a tree file. Regarding the output files for ancseq, please refer to the <a href="https://github.com/YuSugihara/ancseq?tab=readme-ov-file#outputs">GitHub repository</a>.</p> <p> </p> <p><strong>[Fig S7]</strong></p> <p> </p> <p><strong>13_logo_plot.zip</strong></p> <p> </p> <p>Sequence alignments and script used in Fig S7. To generate the consensus sequence shown in Fig S7, we concatenated interfaces 1, 2 and 3 with SS15 and visualized the results using logomaker (Tareen and Kinney, 2020).</p> <p> </p> <p><strong>References</strong></p> <p> </p> <p>Huang C-Y, Huang Y-S, Sugihara Y, Wang H-Y, Huang L-T, Lopez-Agudelo JC, Chen Y-F, Lin K-Y, Chiang B-J, Toghani A, Kourelis J, Derevnina L, Wu C-H. 2023. Functional divergence shaped the network architecture of plant immune receptors. <em>bioRxiv</em>. 2023:2023.12.12.571219. DOI: 10.1101/2023.12.12.571219.</p> <p>Katoh K, Standley DM. 2013. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability. <em>Molecular Biology and Evolution</em> 30:772–780. DOI: 10.1093/molbev/mst010.</p> <p>Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD, von Haeseler A, Lanfear R. 2020. IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era. <em>Molecular Biology and Evolution</em> 37:1530–1534. DOI: 10.1093/molbev/msaa015.</p> <p>Selvaraj M, Toghani A, Pai H, Sugihara Y, Kourelis J, Yuen ELH, Ibrahim T, Zhao H, Xie R, Maqbool A, Concepcion JCD la, Banfield MJ, Derevnina L, Petre B, Lawson DM, Bozkurt TO, Wu C-H, Kamoun S, Contreras MP. 2023. Activation of plant immunity through conversion of a helper NLR homodimer into a resistosome. <em>bioRxiv</em>. 2023:2023.12.17.572070. DOI: 10.1101/2023.12.17.572070.</p> <p>Steenwyk JL, Iii TJB, Li Y, Shen X-X, Rokas A. 2020. ClipKIT: A multiple sequence alignment trimming software for accurate phylogenomic inference. <em>PLOS Biology</em> 18:e3001007. DOI: 10.1371/journal.pbio.3001007.</p> <p>Sugihara Y. 2024. YuSugihara/ancseq: v1.2.1. <em>Zenodo</em>. DOI: 10.5281/zenodo.10808871.</p> <p>Sugihara Y, Toghani A, Kamoun S, Kourelis J. 2023. NLRome dataset from 124 genomes of plants in the Solanaceae family. <em>Zenodo</em>. DOI: 10.5281/zenodo.10354350.</p> <p>Tareen A, Kinney JB. 2020. Logomaker: beautiful sequence logos in Python. Bioinformatics 36:2272–2274. doi:10.1093/bioinformatics/btz921</p> <p> </p>
Distinct roles of the Chlamydia trachomatis effectors TarP and TmeA in the regulation of formin and Arp2/3 during entry
<p>The obligate intracellular pathogen Chlamydia trachomatis manipulates the host actin cytoskeleton to assemble actin-rich structures that drive pathogen entry. The recent discovery of TmeA, which, like TarP, is an invasion-associated type III effector implicated in actin remodeling, raised questions regarding the nature of their functional interaction. Quantitative live-cell imaging of actin remodeling at invasion sites revealed differences in recruitment and turnover kinetics associated with the TarP and TmeA pathways, with the former accounting for most of the robust actin dynamics at invasion sites. TarP-mediated recruitment of actin nucleators, i.e. formins and the Arp2/3 complex, was crucial for rapid actin kinetics, generating a collaborative positive feedback loop that enhanced their respective actin-nucleating activities within invasion sites. In contrast, the formin Fmn1 was not recruited to invasion sites and did not collaborate with Arp2/3 within the context of Tme-aassociated actin recruitment. Although the TarP-Fmn1-Arp2/3 signaling axis is responsible for the majority of actin dynamics, its inhibition had similar effects as the deletion of TmeA on invasion efficiency, consistent with the proposed model that TarP and TmeA act on different stages of the same invasion pathway.</p>
Force/Torque Sensor Measurements for Estimating the Mass Center of an Unknown Robot End Effector
<h1>Introduction</h1> <p>This dataset was created as part of a study on a novel geometric method to estimate the mass center of an unknown robot end effector. A conference paper from this study was accepted for the 2024 IEEE International Conference on Real-time Computing and Robotics (RCAR 2024) [1]. </p> <p>A force/torque sensor (FTS) was attached to the flange of a serial robot, and an unknown end effector was attached to the FTS. Vougioukas [2] described a method to calculate the FTS bias, as well as the mass and mass center using Least Squares Estimation (LSE). His method requires FTS samples from 24 specific orientations of the sensor. See his paper for a description of this calibration method. This dataset was used to evaluate and compare the estimates from the proposed geometric technique to the estimates from Vougioukas' method. </p> <p>The hardware used to generate this dataset were:</p> <ul> <li>KUKA Agilus KR6 R900 sixx (KUKA AG, Germany)</li> <li>ATI Gamma FTS (ATI Industrial Automation, Inc., USA)</li> <li>ATI Netbox (ATI Industrial Automation, Inc., USA)</li> </ul> <h1>Dataset</h1> <p>The robot was used to move the FTS with high precision and accuracy as required by the calibration method from Vougioukas. Each line in the dataset is the measured force and torque, the direction of gravity in the FTS frame, and the orientation of the FTS expressed in the world frame. The lines are ordered and correspond to the orientations described by Vougioukas in his paper. </p> <p><strong>fx,</strong> <strong>fy, fz</strong> - The force components as measured by the FTS.<br><strong>tx, ty, tz </strong>- The torque components as measured by the FTS.<br><strong>gx,gy,gz </strong>- The direction of the gravitational vector in the FTS frame.<br><strong>r11, r12, r13, r21, r22, r23, r31, r32, r33 </strong>- The components of the rotation matrix that represents the FTS orientation in the world frame.</p> <h1>References</h1> <p>[1] A. Skrede, "A Geometric Perspective on Moment Arm Estimation Using Force/Torque Sensors", Accepted for the 2024 IEEE International Conference on Real-time Computing and Robotics (RCAR), Ålesund, Norway, June 2024 </p> <p>[2] S. Vougioukas, “Bias Estimation and Gravity Compen- sation For Force-Torque Sensors,” in Recent Advances in Simulation, Computational Methods and Soft Computing. WSEAS Press, 2001, pp. 82–85. </p>
Dynamin-dependent entry of Chlamydia trachomatis is sequentially regulated by the effectors TarP and TmeA
<p><em>Chlamydia</em> invasion of epithelial cells is a pathogen-driven process involving two functionally distinct effectors – TarP and TmeA. They collaborate to promote robust actin dynamics at sites of entry. Here, we extend studies on the molecular mechanism of invasion by implicating the host GTPase dynamin 2 (Dyn2) in the completion of pathogen uptake. Importantly, Dyn2 function is modulated by TarP and TmeA at the levels of recruitment and activation through oligomerization, respectively. TarP-dependent recruitment requires phosphatidylinositol 3-kinase and the small GTPase Rac1, while TmeA has a post-recruitment role related to Dyn2 oligomerization. This is based on the rescue of invasion duration and efficiency in the absence of TmeA by the Dyn2 oligomer-stabilizing small molecule activator Ryngo 1-23. Notably, Dyn2 also regulated the turnover of TarP- and TmeA-associated actin networks, with disrupted Dyn2 function resulting in aberrant turnover dynamics, thus establishing the interdependent functional relationship between Dyn2 and the effectors TarP and TmeA.</p>
Pangenome graph analysis reveals extensive effector copy-number variation in spinach downy mildew
<p>Data produced for the comparison of six <em>Peronospora effusa</em> isolates. For each isolate, we provide the genome assemblies, gene and repeat annotation, effector clustering, and gene variation. Additionally, we provide the repeat library that was used to annotate the transposable elements for each isolate and the pangenome graph.</p> <p>DOI: https://doi.org/10.1101/2024.05.30.596583 </p>
Design of facilitated dissociation enables control over cytokine signaling duration - SMT raw data - ASneo2 - ASneo2 + Effector - intraFRET ASneo2
<p>This dataset contains the raw data for the Single-molecule tracking data of the manuscript: "Design of facilitated dissociation enables control over cytokine signaling duration". Presicely, it contains the imaging data for ASneo2 stimulation before and after effector addition and the smFRET with double labeled ASneo2 (E4C_K211C)</p>
Design of facilitated dissociation enables control over cytokine signaling duration - SMT raw data - neo2 - neo2 + Effector
<p>This dataset contains the raw data for the Single-molecule tracking data of the manuscript: "Design of facilitated dissociation enables control over cytokine signaling duration". Presicely, it contains the imaging data for neo2 stimulation before and after effector addition.</p>
Raw diffraction images of the type VI amidase immunity (Tai4) and the effector-immunity complex (Tae4-Tai4) from Agrobacterium tumefaciens
<p>X-ray diffraction images of the type VI amidase immunity (Tai4) and the effector-immunity complex (Tae4-Tai4) crystals from Agrobacterium tumefaciens.<br> <br> This upload includes:</p> <ul> <li>AtTai4 (PDB code: 6IJE) collected on BL41XU, SPring-8 using PILATUS3 6M detector. <ul> <li>0.5°/frame × 360 frames (helical data collection)</li> <li>P2<sub>1</sub>2<sub>1</sub>2<sub>1</sub>, a=53.92, b=57.76, c=71.47 Å</li> </ul> </li> <li>AtTae4-AtTai4 complex (PDB code: 6IJF) collected on BL32XU, SPring-8 using MX225-HS CCD detector. <ul> <li>0.5°/frame × 360 frames (helical data collection)</li> <li>P6<sub>1</sub>, a=b=72.03, c=194.35 Å</li> </ul> </li> </ul> <p> </p>
Barley endosomal MONENSIN SENSITIVITY1 is a target of the powdery mildew effector CSEP0162 and plays a role in plant immunity
<p><span>Encasements formed around haustoria and biotrophic hyphae as well as hypersensitive reaction (HR) cell death are essential plant immune responses to filamentous pathogens. In this study we examine the components that may contribute to the absence of these responses in susceptible barley attacked by the powdery mildew fungus. We find that the effector CSEP0162 from this pathogen targets plant MONENSIN SENSITIVITY1 (MON1), which is important for the fusion of multivesicular bodies to their target membranes. Overexpression of CSEP0162 and silencing of barley MON1 both inhibit encasement formation. We find that the Arabidopsis ecotype No-0 has resistance to powdery mildew, and that this is partially dependent on MON1. Surprisingly, we find the MON1-dependent resistance in No-0 not only includes an encasement response, but also an effective HR. Similarly, silencing of MON1 in barley also blocks Mla3-mediated HR-based powdery mildew resistance. Our results indicate that MON1 is a vital plant immunity component, and we speculate that the barley powdery mildew fungus introduces the effector CSEP0162 to target MON1 and hence reduces encasement formation and HR.</span></p>
Data and Analysis from "Analysis of context-specific KRAS-effectors (sub)complexes in Caco-2 cells"
<p>Data, data processing and data analysis for manuscript "Analysis of context-specific KRAS-effectors (sub)complexes in Caco-2 cells". (Preprint available <a href="https://doi.org/10.1101/2022.08.15.503960">here</a>)</p> <p><strong>Analysis of AP-MS data</strong>: analysis.zip</p> <p>Contains the following scripts as well as their outputs:</p> <ul> <li>01_preparation.R R script for filtering and processing our mass spec data.</li> <li>02_diffbinding.R R script for differential analysis followed by gene set enrichment.</li> <li>03_funcstats.R R script for statistical analysis over different ontology terms.</li> <li>04_semantic_analysis.R R script for the GO semantic analysis for the output of 02 and 03.</li> <li>05_1_random_walks.py Python script for performing random walks for specific functional terms.</li> <li>05_2_random_walks_analysis.R R script for the analysis and visualization of the output of 05_1.</li> </ul> <p>The required input data is deposited in the "data" sub-folder, taken directly from the linked PRoteomics IDEntification database (PRIDE) <a href="https://www.ebi.ac.uk/pride/archive/projects/PXD035399">entry</a>.</p> <p>Interactive visualization of the results of most of this analysis is available on <a href="https://github.com/PhilippJunk/kras_apms_vis">GitHub </a>as a Shiny app.</p> <p> </p> <p><strong>Analysis of whole cell lysate</strong>: analysis_wholecelllysate.zip</p> <p>Contains the following script, as well as its output:</p> <ul> <li>01_analysis.R R script for loading the data and extracting/visualizing KRAS and effector abundances.</li> </ul> <p>The required data is deposited in the "data" sub-folder, taken directly from the linked PRoteomics IDEntification database (PRIDE) <a href="https://www.ebi.ac.uk/pride/archive/projects/PXD039404">entry</a>.</p>
Sequence diversity in MAX effectors and other genes in 120 isolates of the rice blast fungus Magnaporthe oryzae
<p>- list_of_accessions_and_assembly_statistics.xlsx: list of 120 isolate and genome assembly statistics</p> <p>- assemblies.zip: genome assemblies with repeats were not masked</p> <p>- orthogroups.txt: list of orthogroups in orthogroups.zip</p> <p>-orthogroups.zip: sequences of orthogroups, as identified using Orthofinder. Sequences were aligned using translatorX (https://doi.org/10.1093/nar/gkq291)</p> <p>- single_copy_orthologs.zip: folder which contains aligned sequences of single-copy orthologs (alignment with translatorX https://doi.org/10.1093/nar/gkq291); three types of genes were distinguished: MAX effectors, other secreted proteins, and other genes; note that to produce this dataset, the 11 orthogroups that included paralogous copies of MAX effectors were split into sets of orthologous sequences using genealogies inferred using RAXML v8, yielding a total of 94 single-copy MAX orthologs; for each split orthogroup, sets of orthologous sequences were assigned a number that was added to the orthogroup’s identifier as a suffix (for instance paralogous sequences of orthogroup OG0000244 were split into orthogroups OG0000244_1 and OG0000244_2)</p>
Trans-eQTL effects on risk of type 1 diabetes: a test of the sparse effector (omnigenic) hypothesis of complex trait genetics (supplementary data)
<p>This repository contains summary-level data generated by performing <a href="https://github.com/molepi-precmed/trans-qtls">Genomewide aggregated trans- effects (GATE) analysis</a> in case-control study of Type 1 Diabetes (T1D).</p>
Supplemental Datasets for 'Multiplexed effector screening for recognition by endogenous resistance genes using positive defense reporters in wheat protoplasts'
<p>Supplemental Datasets:</p><p><strong>Number </strong></p><p><strong>File name </strong></p><p><strong>Description </strong></p><p>S1 </p><p>S1_Figure1_Data.csv </p><p>Luminescence data for Figure 1, protoplast time course experiment </p><p>S2 </p><p>S2_RNAseqSampleTable.csv </p><p>List of samples and treatment groups for RNAseq experiment </p><p>S3 </p><p>S3_LFC_1_genes.xlsx </p><p>Lists of Gabo/GaboSr50, Fielder and all cultivar genes upregulated by log fold threshold of 1 </p><p>S4 </p><p>S4_GOTerms_Table.xlsx </p><p>GO terms analysis Query tables and g:profiler results tables </p><p>S5 </p><p>S5_LFC2_genes.xlsx </p><p>Lists of Gabo/GaboSr50, Fielder and all cultivar genes upregulated by log fold threshold of 2 </p><p> </p><p>S6 </p><p>S6_Primers.xlsx </p><p>List of primers used </p><p>S7 </p><p>S7_PlasmidList.xlsx </p><p>List of plasmids used </p><p>S8 </p><p>S8_Figures3-5Data.xlsx </p><p>Luminescence data used for generating Figures 3 - 7</p><p>S9</p><p> </p><p>S9_Figures3-7Stat.xlsx</p><p> </p><p>Stats output for Figures 3 - 7</p><p> </p><p>S10</p><p> </p><p>S10_SuppFiguresData.xlsx</p><p> </p><p>Data for Supplementary Figures S1 and S2</p><p> </p>
Motor sources of dual-task interference: Evidence for effector-based prioritization in dual-task control
<p>Data of "Motor sources of dual-task interference: Evidence for effector-based prioritization in dual-task control", Hoffmann, Pieczykolan, Koch, & Huestegge.</p> <p>Dual-task costs in error rates and reaction times in six pairwise combination groups of effector systems.</p>
A Pilot Study of Autologous T-Cell Transplantation With Vaccine Driven Expansion of Anti-Tumor Effectors After Cytoreductive Therapy in Metastatic Pediatric Sarcomas
ClinicalTrials.gov study NCT00001566. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Explore the Effectors of The Transtheoretical Model on Nutritional Education in Patients on Hemodialysis
ClinicalTrials.gov study NCT05897502. IPD Sharing: NO. Countries: 1. Publications: 1.
A Study of Itacitinib for the Prevention of Cytokine Release Syndrome Induced by Immune Effector Cell Therapy
ClinicalTrials.gov study NCT04071366. IPD Sharing: NO. Countries: 1. Publications: 2.
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.