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Figure 10 in Larval development and emigration behaviour during sea-to-land transition of the land hermit crab Coenobita brevimanus Dana, 1852 (Crustacea: Decapoda: Anomura: Coenobitidae) under laboratory conditions
Figure 10. The proportions of Coenobita brevimanus carrying three different sizes of gastropod shells. The small (S) and large (L) gastropod shells were Littoraria undulata and the medium (M) size shell was Littorina brevicula.
Figure 3 in Larval development and emigration behaviour during sea-to-land transition of the land hermit crab Coenobita brevimanus Dana, 1852 (Crustacea: Decapoda: Anomura: Coenobitidae) under laboratory conditions
Figure 3. Coenobita brevimanus, first zoea: (A) antennule; (B) antenna; (C) mandibles; (D) maxillule; (E) maxilla; (F) first maxilliped; (G) second maxilliped; (H) third maxilliped; (I) telson. Scale bars: 100 μm (A–C, F, G, I), or 50 μm (D, E, H).
Dataset for paper entitled "Development of Fully Shielded Soft Inductive Tactile Sensors"
<p>This dataset includes all the experimental and FE results presented in the IEEE ICECS 2019 paper "Development of Fully Shielded Soft Inductive Tactile Sensors" (DOI: 10.1109/ICECS46596.2019.8964922).<br> URL of IEEE Xplore:<br> https://ieeexplore.ieee.org/abstract/document/8964922</p> <p>List of data in this dataset:<br> Fig-2-FE modeling-FS-SITS.xlsx<br> Fig-4-Exp_characterization-FS-SITS.xlsx<br> Fig-5-Exp_Demo-FS-SITS.xlsx</p> <p>All the data included in this dataset were collected by Dr. Hongbo Wang.</p> <p>Contact person:<br> Dr. Hongbo Wang, ustcwhb@gmail.com</p>
Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects - Supplementary Material
<p>This is the Supplementary Material provided for the work accepted on HICSS 2021.</p> <p>Title of work: Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects.</p> <p> </p> <p> </p> <p>This dataset depicts 589 GitHub README files explored in our article. We devised each repository into 4 categories. AI Applications (78), reference lists (486), Explainable AI tool (6), Ethical AI tool (15). Moreoveer, 4 repositories could not be found, and 181 of them had a Programming Language. In addition, we classified them according to our judgement of Interesting (82) or Great (33), regarding the objectives of our work. 75 repositories were not related to AI Ethics, and 7 of them mentioned COVID-19 in their repositories in some manner. Highlighted repositories in red pertain to categories 3 and 4, that is, tools for implementing AI Ethics, while those in yellow are marked as “Great”.</p> <p>Explainable AI tool and Ethical AI tool were added to 21 occurrences of tools for implementing AI ethics publicly available in repositories. Furthermore, it is seen that many papers open-sourced their codes on GitHub (as in https://github.com/lopusz/awesome-interpretable-machine-learning), meaning that the academic field has also made good progress in implementing ethics in AI, hence, the combined energy of both sources fosters an enhanced debate and stimulates progress towards AI ethics in practice.</p>
Analysis of copy number variation in dogs implicates genomic structural variation in the development of anterior cruciate ligament rupture
<p>Anterior cruciate ligament (ACL) rupture is an important condition of the human knee. Second ruptures are common and societal costs are substantial. Canine cranial cruciate ligament (CCL) rupture closely models the human disease. CCL rupture is common in the Labrador Retriever (5.79% prevalence), ~100-fold more prevalent than in humans. Labrador Retriever CCL rupture is a polygenic complex disease, based on genome-wide association study (GWAS) of single nucleotide polymorphism (SNP) markers. Dissection of genetic variation in complex traits can be enhanced by studying structural variation, including copy number variants (CNVs). Dogs are an ideal model for CNV research because of reduced genetic variability within breeds and extensive phenotypic diversity across breeds. We studied the genetic etiology of CCL rupture by association analysis of CNV regions (CNVRs) using 110 case and 164 control Labrador Retrievers. CNVs were called from SNPs using three different programs (PennCNV, CNVPartition, and QuantiSNP). After quality control, CNV calls were combined to create CNVRs using ParseCNV and an association analysis was performed. We found no strong effect CNVRs but found 46 small effect (max(T) permutation P<0.05) CCL rupture associated CNVRs in 22 autosomes; 25 were deletions and 21 were duplications. Of the 46 CCL rupture associated CNVRs, we identified 39 unique regions. Thirty four were identified by a single calling algorithm, 3 were identified by two calling algorithms, and 2 were identified by all three algorithms. For 42 of the associated CNVRs, frequency in the population was <10% while 4 occurred at a frequency in the population ranging from 10-25%. Average CNVR length was 198,872bp and CNVRs covered 0.11 to 0.15% of the genome. All CNVRs were associated with case status. CNVRs did not overlap previous canine CCL rupture risk loci identified by GWAS. Associated CNVRs contained 152 annotated genes; 12 CNVRs did not have genes mapped to CanFam3.1. Using pathway analysis, a cluster of 19 homeobox domain transcript regulator genes was associated with CCL rupture (P=6.6E-13). This gene cluster influences cranial-caudal body pattern formation during embryonic limb development. Clustered genes were found in 3 CNVRs on chromosome 14 (HoxA), 28 (NKX6-2), and 36 (HoxD). When analysis was limited to deletion CNVRs, the association was strengthened (P=8.7E-16). This study suggests a component of the polygenic risk of CCL rupture in Labrador Retrievers is associated with small effect CNVs and may include aspects of stifle morphology regulated by homeobox domain transcript regulator genes.</p>
Aberrant development of pancreatic beta cells derived from human iPSCs with FOXA2 deficiency
<p><strong>Project manager(s)</strong><strong>: </strong>Essam M. Abdelalim</p> <p>Induced pluripotent stem cells (iPSCs) were generated from a patient with a heterozygous deletion of the short arm of chromosome 20 at bands p11.22 to p11.21 (~969 kb deletion), which contains only one gene, <em>FOXA2 </em>(<em>FOXA2<sup>+/-</sup></em>iPSCs) as well as healthy controls (Ctr1 iPSCs and Ctr2 iPSCs). <em>FOXA2<sup>+/-</sup></em>iPSCs were differentiated into different stages of beta cell development to understand the role of FOXA2 during pancreatic beta cell development as described in the article entitled "<strong>Aberrant development of pancreatic beta cells derived from human iPSCs with <em>FOXA2</em> deficiency" by Elsayed et al</strong>. The dataset represents RNA-seq data generated from pancreatic progenitors (PP2) and endocrine progenitors (EPs) derived from Ctr1 iPSCs, Ctr2 iPSCs, and three clones of <em>FOXA2<sup>+/-</sup></em>iPSCs. </p> <p>The file name is: Sample name _overall sample number_read direction_001 where:</p> <p>- PP2-Ctr 1: pancreatic progenitors (PP2) derived from Ctr1 iPSCs (healthy control 1)</p> <p>- PP2-Ctr 2: pancreatic progenitors (PP2) derived from Ctr2 iPSCs (healthy control 2)</p> <p>- PP2-FOX1, PP2-FOX2, and PP2-FOX3: pancreatic progenitors (PP2) derived from three different clones of patient-derived <em>FOXA2<sup>+/-</sup></em>iPSCs.</p> <p>- EP-Ctr1: endocrine progenitors (Eps) derived from Ctr1 iPSCs (healthy control 1)</p> <p>- EP-Ctr2: endocrine progenitors (Eps) derived from Ctr2 iPSCs (healthy control 2)</p> <p>- EP-FOX R1, EP-FOX R2, and EP-FOX R3: endocrine progenitors (EPs) derived from three different clones of patient-derived <em>FOXA2<sup>+/-</sup></em>iPSCs.</p> <p>- The RNA-Seq data were generated from two Ctr-iPSC lines and three FOXA2<sup>+/-</sup>iPSC lines.</p> <p>- Read direction: R1 (Forward), R2 (Reverse).</p>
A two-tier bioinformatic pipeline to develop probes for target capture of nuclear loci with applications in Melastomataceae
<p><b><i>Premise of the study</i></b><b>: </b>Putatively single-copy nuclear (SCN) loci, identified using genomic resources of closely related species, are ideal for phylogenomic inference. However, suitable genomic resources are not available for many clades, including Melastomataceae. We introduce a versatile approach to identify SCN loci for clades with few genomic resources and use it to develop probes for target enrichment<i> </i>in the distantly related <i>Memecylon</i> and <i>Tibouchina</i> (Melastomataceae).</p> <p><b><i>Methods</i></b>: We present a two-tiered pipeline. First, we identified putatively SCN loci using MarkerMiner and transcriptomes from distantly related species in Melastomataceae. Published loci and genes of functional significance were added (384 total loci). Second, using HybPiper, we retrieved 689 homologous template sequences for these loci using genome-skimming data from within the focal clades.</p> <p><b><i>Results</i></b>: We sequenced 193 loci from both <i>Memecylon</i> and <i>Tibouchina</i>, with probes designed from 56 template sequences successfully targeting sequences in both clades. Probes designed from genome-skimming data within a focal clade were more successful than probes designed from other sources.</p> <p><b><i>Discussion: </i></b>Our pipeline successfully identified and targeted SCN loci in <i>Memecylon </i>and <i>Tibouchina</i>, enabling phylogenomic studies in both clades and potentially across Melastomataceae. This pipeline could be easily applied to other clades with few genomic resources. </p>
The target of selection matters: an established resistance – development-time negative genetic trade-off is not found when selecting on development time.
<p>Trade-offs are fundamental to evolutionary outcomes and play a central role in eco-evolutionary theory. They are often examined by experimentally selecting on one life-history trait and looking for negative correlations in other traits. For example, populations of the moth Plodia interpunctella selected to resist viral infection show a life-history cost with longer development times. However, we rarely examine whether the detection of such negative genetic correlations depends on the trait on which we select. Here we examine a well-characterised negative genotypic trade-off between development time and resistance to viral infection in the moth Plodia interpunctella and test whether selection on a phenotype known to be a cost of resistance (longer development time) leads to the predicted correlated increase in resistance. If there is tight pleiotropic relationship between genes that determine development time and resistance underpinning this trade-off, we might expect increased resistance when we select on longer development time. However, we show that selecting for longer development time in this system selects for reduced resistance when compared to selection for shorter development time. This shows how phenotypes typically characterised by a trade-off can deviate from that trade-off relationship, and suggests little genetic linkage between the genes governing viral resistance and those that determine response to selection on the key life-history trait. Our results are important for both selection strategies in applied biological systems and for evolutionary modelling of host-parasite interactions.</p>
The development of the Leuven Embedded Figures Test (L-EFT)
<p>The Embedded Figures task has a long history as an important clinical and psychological test. There is however some ambiguity as to what exactly the test measures. This ambiguity is brought into clear focus by the fact that some researchers use the test as a measure of a local or global perceptual bias while others regard the test as a good measure of a much broader cognitive capacity related to intelligence or executive function. Given the importance of this test, particularly in clinical domains such as Autism, we have set out to develop a new version of the embedded figures test that more systematically manipulates the perceptual factors that contribute to the effective embedding of a target in a complex context. The result from two experiments will be presented, in which a range of factors, including continuity, complexity, closure and symmetry are revealed as potentially important. Based on these two experiments, a new set of stimuli will be presented which will form the basis of our new version of the Embedded Figures Test, which we plan to launch as an online test using the format of the Leuven Perceptual Organization Screening Test (L-POST). By more systematically manipulating the perceptual factors that contribute to effective embedding, we hope to offer a much more sensitive test, and a test that is better able to differentiate between genuine perceptual, as appose to executive, contributions to performance on this test.</p>
Supplementary material for the paper "The Development of Metaphor Comprehension and its Relationhip with Executive Function"
<p>This the is Data Supplement for the article "The Development of Metaphor Comprehension and its Relationhip with Executive Function" submitted to PLoS ONEJournal 2015. Primary contact for data associated with this article:Nuria Carriedo ncarriedo@psi.uned.es.</p>
Common Genetic Variants in FOXP2 are Not Associated with Individual Differences in Language Development
<p>Three data sets used in” Common Genetic Variants <em>in FOXP2</em> Are Not Associated with Individual Differences in Language Development” are provided. The discovery data set was comprised of 834 children who were members of a Longitudinal sample and children who were members of a School sample. Both samples are contained in the Iowa data set. The Iowa data set contains a quantitative variable LCOMP that represents a composite z-score representing oral language ability. The data set also identifies which sample the children belonged to and the allele calls for 13 tag SNPs located across <em>FOXP2</em>. A second data file, ELVS, contains data from a separate sample of children who were used to test for replication of inconsistent evidence of an association between language and the SNP rs1916988. The ELVS file provides a composite oral language score scaled in standard score units (mean=100, SD=15) and the genotype calls for the SNP rs1916988.</p>
FIGURE 3 in Sexual dimorphism in a freshwater atyid shrimp (Decapoda: Caridea) with direct development: a geometric morphometrics approach
FIGURE 3. Relative deformations grids illustrating the variation in the mean shape of the carapace for (a) females and (b) males.
FIGURE 2 in Sexual dimorphism in a freshwater atyid shrimp (Decapoda: Caridea) with direct development: a geometric morphometrics approach
FIGURE 2. Scatter plot of first versus second principal component axes for the total variation of the carapace shape for females, juvenile females and males of Neocaridina davidi.
USGSG16AP00094: Developing a seismic velocity model of the central valley, northern California: model SSJD2016
<p>Seismic velocity model SSJD2016 uses earthquake travel-time, ambient noise group velocity and gravity data to update Thurber NC2009, for northern California.</p>
How Developers Locate Performance Bugs — Supplementary Material
<p><strong>Abstract:</strong></p> <p><em>Background:</em> Performance bugs can lead to severe issues regarding computation efficiency, power consumption, and user experience. Locating these bugs is a difficult task because developers have to judge for every costly operation whether runtime is consumed necessarily or unnecessarily. Objective: We wanted to investigate how developers, when locating performance bugs, navigate through the code, understand the program, and communicate the detected issues.</p> <p><em>Method:</em> We performed a qualitative user study observing twelve developers trying to fix documented performance bugs in two open source projects. The developers worked with a profiling and analysis tool that visually depicts runtime information in a list representation and embedded into the source code view.</p> <p><em>Results:</em> We identified typical navigation strategies developers used for pinpointing the bug, for instance, following method calls based on runtime consumption. The integration of visualization and code helped developers to understand the bug. Sketches visualizing data structures and algorithms turned out to be valuable for externalizing and communicating the comprehension process for complex bugs.</p> <p><em>Conclusion:</em> Fixing a performance bug is a code comprehension and navigation problem. Flexible navigation features based on executed methods and a close integration of source code and performance information support the process.</p> <p><strong>Dataset:</strong></p> <ol> <li> <p><strong>Tutorial:</strong> We provide the slides (PDF) and the video (MP4) we used in the tutorial phase of our study.</p> </li> <li> <p><strong>Locating Bugs:</strong> We also provide supplementary material for each research question. We provide the advices we prepared for each bug in case a team got stuck (PDF); the questions we asked after each bug fixing session can be found on the introduction slides (PDF).</p> <ul> <li> <p><strong>RQ1:</strong> Navigating and Understanding</p> <ul> <li> <p><strong>RQ1.1:</strong> <em>How was information from the profiling tool or other parts of the IDE used to locate the performance bug?</em> Cross-case analysis (in German) (XLSX+ODS)</p> </li> <li> <p><strong>RQ1.2:</strong> <em>Is the in-situ visualization of the profiling data beneficial compared to a traditional list representation?</em> Cross-case analysis (in German) (XLSX+ODS)</p> </li> <li> <p><strong>RQ1.3:</strong> <em>What navigation strategies do developers pursue to locate a specific performance bug?</em> Interaction logs (TXT), Navigation visualizations (SVG), Screen recordings for Bug 3 (MP4, without audio because of confidentiality)</p> </li> </ul> </li> <li> <p><strong>RQ2:</strong> Understanding and Communicating</p> <ul> <li> <p><strong>RQ2.1:</strong> <em>How do developers communicate with each other when locating a performance bug?</em> Coding (XLSX+ODS), Sketches (PDF), Screen recordings for Bug 3 (MP4, without audio because of confidentiality)</p> </li> <li> <p><strong>RQ2.2:</strong> <em>Could sketches help to understand and communicate a performance bug?</em> Coding (XLSX+ODS), Sketches (PDF), Cross-case analysis (in German) (XLSX+ODS), Sketching videos for Bug 3 (MP4, without audio because of confidentiality)</p> </li> </ul> </li> </ul> </li> <li> <p><strong>Questionnaire:</strong> The questionnaire that the participants filled out at the end of the study can be found here (PDF).</p> </li> </ol>
Metamodel for developing learning ecosystems
<p>The ecosystems metamodel is a M2-model instantiated from MOF, a M3-model in the four-layer metamodel architecture of OMG. The main objective of this metamodel is to provide a Computing Independent Model (CIM) for describing learning ecosystems build from software components, human elements and information flows between components which are represented by web services.</p>
Data and R script for Neville, Andrews, Nettle and Bateson, 'Dissociating the effects of alternative early-life feeding schedules on the development of adult depression-like phenotypes'
<p>The R script and raw data files for the paper 'Dissociating the effects of alternative early-life feeding schedules on the development of adult depression-like phenotypes', by Vikki Neville, Clare Andrews, Daniel Nettle and Melissa Bateson.</p>
Development and impact analysis of ground motion datasets for potential strong-to-great seismic scenarios in Chinese mainland
<p>地震动情景数据对于评估地震灾害损失至关重要,并且是协作式多学科地震风险分析和区域灾害预防的基础要素。这项研究根据地震灾害分区数据确定了 50 个潜在的地震成因位置,并得到了地质和地震学证据的支持。根据潜在的损坏程度选择了四个震级(Mw 6.5、Mw 7.0、Mw 7.5 和 Mw 8.0),最终建立了 200 个地震情景。该数据集包括峰值地面加速度 (PGA)、峰值地面速度 (PGV) 和地震强度,是使用之前在应急响应中验证的强大 GMPE 生成的。这为灾害预防、减灾和城市规划提供了有用的支持,使其适用于许多分析需求。</p> <p><strong><em>注意: </em> 这是对高风险地震断层地震情景的模拟,旨在帮助决策者采取主动措施来减轻潜在地震的影响。它还为相关研究人员提供了一组可用的数据资源。请不要使用这些数据来生成或传播错误信息!</strong></p>
Data - Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages
<p>This repository contains the data and scripts required to reproduce the results of the manuscript "Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages" submitted to the Environmental Research Climate Journal (ERCL). </p> <p><strong>Brief description of project</strong></p> <p>This project has two main goals:</p> <ol> <li>Examine the key factors influencing global economic wildfire damages </li> <li>Projecting future damages under three Shared Socioeconomic Pathways (SSP126, SSP245, and SSP370)</li> </ol> <p><strong>Repository structure</strong></p> <ul> <li>/data directory: contains the data to reproduce the regression analyses and plot the figures presented in the manuscript <ul> <li>/data/historical: contains the historical (training) data that was used for fitting the linear regression model </li> <li>/data/ssp: contains the SSP projection data for all predictors, as well as the projected model output for future wildfire damages</li> <li>/data/source: contains all raw data used in this study</li> </ul> </li> <li>/scripts directory: contains the python scripts to run the regression model and to plot the figures presented in the manuscript <ul> <li>/scripts/linregress: contains the scripts for running the linear regression model and to conduct various model validation steps <ul> <li>run_linregress.py: script to run the linear regression model </li> <li>run_nonlinregress.py: script to run the nonlinear models (preliminary)</li> <li>run_plm.py: script to run the supplementary panel regression model (plm)</li> <li>run_gdp_linregress.py: script to run the alternative linear regression model using absolute damages as outcome variable and GDP as additional independent predictor</li> <li>inspect_model.py: script to conduct model validation</li> </ul> </li> <li>/scripts/plotting: contains the scripts to plot all figures presented in the manuscript <ul> <li>plot_map_y_X_hist.py: script to plot Figure 1 (world maps of historical wildfire damage and predictors used in this study)</li> <li>plot_residual_plots.py: script to plot Figure 2 (residual and partial residual plots of the fitted regression model)</li> <li>plot_beta_coef_model_prediction.py: script to plot Figure 3 (standardized beta coefficients of the fitted regression model and the scatterplots for reported vs. model-estimated wildfire damages)</li> <li>plot_predictor_ssp_timeseries_global.py: script to plot Figure 4 (time-series of the SSP projections of the predictors)</li> <li>plot_map_X_ssp.py: script to plot Figure 5 (world maps of predictor values for the three SSPs explored in this study)</li> <li>plot_ssp_damage_projection_by_region.py: script to plot Figure 6 (projected wildfire damages under the three SSPs and for the six IPCC AR6 regions)</li> <li>plot_ssp_damage_projection_per_predictor.py: script to plot Figure 7 (time-series of global mean projected wildfire damage with all predictors changing and only individual predictors changing)</li> <li>plot_ssp3_ssp1_difference.py: script to plot Figure 8 (time-series of mean avoided wildfire damage in SSP126 compared to SSP370)</li> <li>SI_plot_ssp_damage_projection_lin_vs_nonlin.py: script to plot Figure S1 (comparison of time-series of mean projected wildfire damage with the linear and nonlinear models)</li> <li>SI_plot_ssp_damage_projection_xterm.py: script to plot Figure S2 (comparison of time-series of mean projected wildfire damages using models with and without interaction terms)</li> <li>SI_plot_beta_coef_pop_wui.py: script to plot Figure S3 (same as Figure 3 but for the model using pop_wui instead of PDforest)</li> <li>SI_plot_ssp_population.py: script to plot Figure S4 (population projection under the three SSP scenarios)</li> <li>SI_plot_ssp_map_pop_wui.py: script to plot Figure S5 (world maps of the pop_wui predictor under three SSP scenarios)</li> <li>SI_plot_ssp_map_damage.py: script to plot Figure S6 (world maps of projected wildfire damages under the three SSP scenarios and for the years 2030, 2050 and 2070)</li> <li>SI_plot_ssp_damage_projection_pop_wui.py: script to plot Figure S7 (comparison of the time-series of projected wildfire damage using pop_wui vs PDforest as predictor)</li> <li>SI_plot_predictor_ssp_trend_by_dev_region.py: script to plot Figure S8 (time-series of the SSP projections of the predictors by developmental regions)</li> </ul> </li> </ul> </li> </ul>
Can Developers Prompt? A Controlled Experiment for Code Documentation Generation [Replication Package]
<h2>Artifact Summary</h2> <p>This repository contains the replication package for the paper 'Can Developers Prompt? A Controlled Experiment for Code Documentation Generation,' presented at the <em><a href="https://conf.researchr.org/home/icsme-2024" target="_blank" rel="noopener">40th IEEE International Conference on Software Maintenance and Evolution (ICSME'24)</a></em>.</p> <p>The purpose of the package is to facilitate the verification and reproduction of the study results. It provides all data of the controlled experiment, the developed <em>Visual Studio Code (VS Code)</em> extension, as well as the slides of the conference presentations.</p> <h2>Paper Abstract</h2> <p>Large language models (LLMs) bear great potential for automating tedious development tasks such as creating and maintaining code documentation. However, it is unclear to what extent developers can effectively prompt LLMs to create concise and useful documentation. We report on a controlled experiment with 20 professionals and 30 computer science students tasked with code documentation generation for two Python functions. The experimental group freely entered ad-hoc prompts in a ChatGPT-like extension of Visual Studio Code, while the control group executed a predefined few-shot prompt. Our results reveal that professionals and students were unaware of or unable to apply prompt engineering techniques. Especially students perceived the documentation produced from ad-hoc prompts as significantly less readable, less concise, and less helpful than documentation from prepared prompts. Some professionals produced higher quality documentation by just including the keyword Docstring in their ad-hoc prompts. While students desired more support in formulating prompts, professionals appreciated the flexibility of ad-hoc prompting. Participants in both groups rarely assessed the output as perfect. Instead, they understood the tools as support to iteratively refine the documentation. Further research is needed to understand which prompting skills and preferences developers have and which support they need for certain tasks.</p> <h2>References</h2> <p>The published paper is available on <a href="https://doi.org/10.1109/ICSME58944.2024.00058" target="_blank" rel="noopener">IEEE Xplore</a> and the preprint on <a href="https://doi.org/10.48550/arXiv.2408.00686" target="_blank" rel="noopener">arXiv</a>.</p>
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.