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Real-time RT-PCR datasets for the CEO study
<p>Real-time RT-PCR results of testing citrus essential oils for viroid transmission. </p> <p>Ct values of each run are listed in Excel sheet according to the respective experiment. </p>
Base de datos espacial del patrimonio industrial inmueble de la Eurociudad del Guadiana (municipios de Ayamonte, Vila Real de Santo Antonio y Castro Marim)
<div>1. Dataset language:</div> <div>Spanish</div> <div> </div> <div> </div> <div>2. Abstract:</div> <div>Estos archivos proporcionan las capas vectoriales de los registros de patrimonio industrial inmueble de la Eurociudad del Guadiana recopilados en el año 2022 y 2023 por la autora. Se ha utilizao como fuentes primarias los documentos de registros de fábricas y industrials del Archivo Distrital de Faro, del Archivo provincial de Huelva y del Archivo Municipal de Ayamonte. También se ha incorpoado datos de fuentes secundarias del Archivo de Vila Real de Santo Antonio. Asimismo, gran parte de los datos fueron recopilados mediante trabajo de campo. </div> <div> </div> <div> </div> <div>These files provide the vectorial layers of the records of the immovable industrial heritage of the Eurocity of Guadiana compiled in 2022 and 2023 by the author. We have used as primary sources the factory and industrial records documents from the District Archive of Faro, the Provincial Archive of Huelva and the Municipal Archive of Ayamonte. We have also incorporated data from secondary sources from the Archive of Vila Real de Santo Antonio. In addition, much of the data was collected through fieldwork.</div> <div> </div> <div> </div> <div> </div> <div>3. Keywords: </div> <div>Base de datos espacial; patrimonio industrial; Eurociudad del Guadiana; patrimonio cultural; fábricas; conserveras; Ayamonte; Vila Real de Santo Antonio; Castro Marim. </div> <div> </div> <div>Spatial database; industrial heritage; Eurocity of Guadiana; cultural heritage; factories; canneries; Ayamonte; Vila Real de Santo Antonio; Castro Marim. </div> <div> </div> <div> </div> <div>4. Date of data collection (fecha única o rango de fechas):</div> <div>20-05-2022 al 01-02-2023</div> <div> </div> <div>5. Publication Date:</div> <div>[ Obligatorio si es aplicable. Fecha de depósito en el repositorio | Formato DD-MM-YYYY] </div> <div> </div> <div> </div> <div>6. Grant information:</div> <div> </div> <div>Grant Agency [Organismo financiador]: Ministerio de Universidades del Gobierno de España</div> <div>Grant Number [Código del proyecto]: CAS21/00333</div> <div> </div> <div> </div> <div>7. Geographical location/s of data collection:</div> <div>Península Ibérica</div> <div> </div> <div>Iberian Peninsula</div> <div> </div> <div> </div> <div> </div> <div> <div>ACCESS INFORMATION</div> <div>------------------------</div> <div> </div> <div>1. Creative Commons License of the dataset:</div> <div>Licencia CC BY-NC-ND </div> <div> </div> <div> </div> <div>2. Dataset DOI:</div> <div>[ Obligatorio]</div> <div> </div> <div> </div> <div>3. Related publication:</div> <div>Ferreira-Lopes, P., & Pires Rosa, M. (2023). Metodología de captura y análisis de datos del patrimonio inmueble industrial de la Eurociudad del Guadiana. Ge-Conservacion, 24(1), 56-68. https://doi.org/10.37558/gec.v24i1.1205</div> <div> </div> <div>Ferreira Lopes, P., Moya Muñoz, J., & Pires Rosa, M. (2023). An in-depth look at the application of GIS for industrial heritage documentation. Conservar Património, 44, 67–81. https://doi.org/10.14568/cp28708</div> <div> </div> <div>4. Link to related datasets:</div> <div> </div> <div> </div> <div> </div> <div> </div> <div> </div> <div> </div> <div>VERSIONING AND PROVENANCE</div> <div>---------------</div> <div> </div> <div>1. Last modification date:</div> <div> 14-03-2023</div> <div> </div> <div> </div> <div>2. Were data derived from another source?:</div> <div>Sí. Los registros identificados fueron recopilatos tanto d etrabajo de campo como por diversas fuentes de consultas que están especificadas en cada uno de los registros. </div> <div> </div> <div> </div> <div>3. Additional related data not included in this dataset:</div> <div> </div> <div> </div> <div> </div> <div>METHODOLOGICAL INFORMATION</div> <div>-----------------------</div> <div>El archivo vectorial se creó en el software Quantum GIS (QGIS). </div> <div> </div> <div>Consultar: Ferreira-Lopes, P., & Pires Rosa, M. (2023). Metodología de captura y análisis de datos del patrimonio inmueble industrial de la Eurociudad del Guadiana. Ge-Conservacion, 24(1), 56-68. https://doi.org/10.37558/gec.v24i1.1205</div> <div>Ferreira Lopes, P., Moya Muñoz, J., & Pires Rosa, M. (2023). An in-depth look at the application of GIS for industrial heritage documentation. Conservar Património, 44, 67–81. https://doi.org/10.14568/cp28708</div> <div> </div> <div> </div> <div>1. Description of the methods used to collect and generate the data:</div> <div> </div> <div> </div> <div> </div> <div>2. Data processing methods:</div> <div> </div> <div> </div> <div>3. Software or instruments needed to interpret the data:</div> <div>GIS software (QGIS, ARcGIS, GvSIG, etc.)</div> <div> </div> <div>4. Information about instruments, calibration and standards:</div> <div> </div> <div> </div> <div> </div> <div>5. Environmental or experimental conditions:</div> <div> </div> <div> </div> <div> </div> <div>6. Quality-assurance procedures performed on the data:</div> <div> </div> <div> </div> <div> </div> <div> </div> <div>FILE OVERVIEW </div> <div>----------------------</div> <div>Continene 6 capas vectoriales. El archivo shapefile está compuesto por 7 archivos en formato .cpg; .prj; .sbn; .shp; .sbx; .shx; .dbf. </div> <div> </div> <div>1. Explain the file naming conversion, si es aplicable:</div> <div> </div> <div> </div> <div> </div> <div>2. File list:</div> <div> </div> <div> </div> <div> </div> <div>3. Relationship between files:</div> <div> </div> <div> </div> <div> </div> <div>4. File format:</div> <div> </div> <div> </div> <div> </div> <div>5. If the dataset includes multiple files, specify the directory structure and relationships between the files:</div> <div>Un archivo shapefile está compuesto por 7 archivos en formato .cpg; .prj; .sbn; .shp; .sbx; .shx; .dbf. </div> <p> </p> </div>
Comprehensive Dataset for Detecting Road Anomalies in Diverse Real-World Situations
<p>In Smart Cities, technologies are playing an important role in efficiently managing the rapid growth of the world's industrialization today. The deployment of surveillance cameras has proliferated to improve public safety and security. Many Closed-Circuit Television (CCTV) cameras have been installed to monitor and safeguard public spaces efficiently within the cities. Despite advancements in technology, video and image processing still largely rely on manual observation. This manual analysis is time-consuming, prone to missing critical details, and costly in terms of labor and resources. Nevertheless, monitoring large video feeds for long periods indicates fatigue, demise of focus, and errors, particularly when video surveillance is a necessity. <br>Road anomaly detection is one of the prominent computer vision issues that researchers have investigated to guarantee public safety. Road anomaly identification is increasingly difficult and complex due to the variety and complexity of abnormalities. <br>Deep learning algorithms must be efficient but also need a large dataset to train to recognize road anomalies in different environments. We proposed a custom real-world data set containing road anomaly images and videos that are made available to the public and private surveillance systems. Primary data were collected from diverse sites in Pakistan, and the data were gathered by recording videos and capturing images by using mobile and surveillance cameras The dataset encompasses five major categories of road anomaly effects.: vehicle accidents, vehicle fire, fighting, snatching(gunpoint), and potholes that classification modeling while promoting improvement in both scientific research and realistic application. The dataset also encompasses annotations with You Only Look Once (YOLO) based bounding boxes and class label files in text format for every image. <br>The researchers can utilize data to train and validate their anomaly detection algorithms and models, thus increasing public security and safety. This dataset focuses on natural environment scenes with a detailed examination of safe transportation and impacts on broader environmental knowledge. Data can give to the liable and ethical arrangement of Artificial Intelligence technologies in surveillance security system</p>
Aprendizaje en Contexto Real (ACR): Conectando el Aula con los Desafíos del Mundo
<p>Esta infografía presenta de manera visual y concisa los principales componentes del Aprendizaje en Contexto Real (ACR), una estrategia pedagógica integrada al Modelo de Vinculación con el Medio (VcM) de la Universidad Mayor. A través de ilustraciones se destacan las fases clave del ACR: desde la identificación de necesidades locales hasta la implementación de soluciones y la reflexión sobre los resultados. Esta herramienta gráfica es ideal para comprender el proceso del ACR y su retroalimentación en la formación académica, así como en la colaboración con actores externos.</p>
AI-based real-time animal management system for flock monitoring in the husbandry of fattening turkeys
<p>The dataset was collected in a commercial turkey barn using a self-developed AI-based real-time animal management system to assess the behavior of turkeys. The data covers turkeys from the 6th to the 18th week of life.</p>
Data for an IES from a real industrial park
<p>The dataset includes historical operational data of the Integrated Energy System (IES) from an industrial park in China. Specifically, the Excel file contains the flow rate and pressure data of steam and compressed air. The pickle file includes the specific data format created for T-STGCN(<a href="https://github.com/Lirdon/TSTGCN">Lirdon/TSTGCN (github.com)</a>).</p>
Residuos de minas. Muestras tomadas en superficie y profundidad en la balsa de lodos San Quintín Oeste, Ciudad Real.
<p>Muestras tomadas en superficie y profundidad en la balsa de lodos San Quintín Oeste. SQ-11 se compone de tres intervalos tomados a diferentes profundidades. Cada intervalo tiene un espesor de alrededor de 20 cm de profundidad SQ-20 se tomó a dos intervalos (SQ-20 y SQ-BAR-3). Por último, las muestras en SQ-19 corresponden a una calicata realizada a mano en la que se tomaron muestras a diferentes profundidades según cambios en la naturaleza del material. Muestras tomadas en noviembre de 2022, por el Grupo de Investigación de Residuos Mineros y Geoquímica Ambiental del CN-IGME (CSIC). </p>
Invention and application of epoch of Kifilideen's Sum Formula for Kifilideen's General Matrix Progression Series of infinite terms in solving real-world problems
<p>*Sharing a Notable Achievement* I am honored to announce that my research paper, titled 'Invention and Application of Epoch of Kifilideen’s Sum Formula for Kifilideen’s General Matrix Progression Series of Infinite Terms in Solving Real-World Problems,' was among the three papers selected by the College of Engineering (COLENG) for presentation at the recent Science and Technology Fair/Exhibition organized by Bells University of Technology, Ota, Ogun State, Nigeria, on October 28, 2024. I am delighted to share that COLENG secured the first position in the Inter-Collegiate poster competition, a testament to the outstanding collective efforts of our researchers, staff, and team members who contributed to the success. I extend my gratitude to the Dean of Engineering for his exceptional leadership and guidance, which played a pivotal role in this achievement. Congratulations to my colleagues whose papers were also presented, and to everyone who contributed to this success. Award Recognition Sincerely, Engr. Dr. Kifilideen Lekan OSANYINPEJU Agricultural and Bio-System Engineering College of Engineering Bells University of Technology, Ota, Ogun State, Nigeria</p>
Looking in the medicine cabinet: methods for using real-world data to assess the impact of measles, mumps and rubella (MMR) and recombinant adjuvanted varicella-zoster vaccines on coronavirus disease 2019 (COVID-19) prevention and case fatality
<p>Supplementary File S1. 20210712_vx_off_target_pubdraft_S1 (Tables, Graphs and scripts associated with publication)</p> <p>Data file 1. Basic_Analysis.R (descriptive analysis script in R, for use with cleaned data files 3, 4 and 6)<br> Data file 2. Cleaning (Script demonstrating how Cerner data was cleaned upon download)<br> Data file 3. COVID_all_cleaned (CSV file with all COVID+ subjects in Cerner institutions)<br> Data file 4. COVID_mmr_data_cleaned (CSV file with COVID+ patients between 25-64 years old, including institution id, age category, gender, whether patient is in emergency department or inpatient, flu vaccine history, MMR vaccine history and mortality outcomes)<br> Data file 5. COVID_mmr_data_matched (CSV file matching MMR vaccine-exposed cases to controls based on propensity scores)<br> Data file 6. COVID_zoster_data_cleaned (CSV file with COVID+ patients above 50 years old, including institution id, age category, gender, whether patient is in emergency department or inpatient, flu vaccine history, zoster vaccine history and mortality outcomes)<br> Data file 7. COVID_zoster_data_matched (CSV file matching zoster vaccine-exposed cases to controls based on propensity scores)<br> Data file 8. General_25_64_data_cleaned (CSV file, all patients in Cerner institutions between 25 – 64 years old, including institution id, age category, gender, whether patient is in emergency department or inpatient, flu vaccine history, MMR vaccine history, SARS-CoV-2 infection and COVID-19 mortality outcomes ).<br> Data file 9. General_over50_data_cleaned (CSV file, all patients in Cerner institutions above 50 years old, including institution id, age category, gender, whether patient is in emergency department or inpatient, flu vaccine history, zoster vaccine history, SARS-CoV-2 infection and COVID-19 mortality outcomes).<br> Data file 10. Included_tenants (CSV file, institution IDs whose contributed cases comprise at least 0.5% of the aggregate sample size).<br> Data file 11. MMR_ps (R script to run for MMR-related files analysis)<br> Data file 12. Zoster_ps (R script to run for zoster-related files analysis)</p>
Real-time GNSS troposphere products: ZTD and gradients - hurricane Lorenzo case study
<p>This dataset contains multi-GNSS real-time products, i.e. ECEF coordinates, zenith total delay (ZTD), and horizontal gradients, together with their uncertainties estimated every 1 minute for a subset of EPN stations during two test periods (21 days long each):</p> <p>1) Day of year (DoY) 201 - 221, 2019</p> <p>2) DoY 266 - 286, 2019.</p> <p>The processing strategy can be found in https://link.springer.com/article/10.1007/s10291-020-01014-w, under to "advanced strategy" configuration.</p> <p>For convenience, products are stored in 2 formats (but each contains identical data):</p> <p>1. Self-explanatory netCDF format (https://www.unidata.ucar.edu/software/netcdf/docs/file_format_specifications.html), which follows the parameter naming convention of the troposphere SINEX v2 format: https://www.pecny.cz/WWW_FIL/TRO-SINEX/old/sinex_tro_2017-05-28-JD.pdf. Each file contains data for all stations but only for one test period.</p> <p>2. Semicolon delimited text files, with a self-explanatory header line. Each file contains daily products for one station.</p>
Figures for "Conformer-specific Photochemistry Imaged in Real Space and Time "
<p>This is data and code to create the figures of the manuscript "Conformer-specific Photochemistry Imaged in Real Space and Time ". Data are in .npy format, code to create the figures is in python.</p>
Gender-associated outcomes following percutaneous coronary intervention with a third-generation, ultrathin-strut drug-eluting stent: a real world, single-center experience.
<p>This record contains raw data related to the article: Gender-associated outcomes following percutaneous coronary intervention with a third-generation, ultrathin-strut drug-eluting stent: a real-world, single-center experience.</p> <p>ABSTRACT </p> <p><strong>Introduction.</strong> In recent years the new third-generation, ultrathin bioresorbable-polymer sirolimus-eluting stent (BP-SES), characterized by some of the thinnest struts among commercially available devices (60-80 µm) and an amorphous silicon carbide coating, has been introduced for the treatment of coronary artery disease (CAD). Aim of the present study was to assess different clinical outcomes and safety of this drug-eluting stent in male and female patients in a real-world setting.</p> <p><strong>Methods. </strong>The present study is a retrospective analysis including all patients treated with BP-SES between January 2017 and December 2019 at a single, high-volume center. Follow-up was performed by outpatient visit or by telephone contact. The main study outcome was target lesion failure (TLF), defined as a composite of cardiovascular death, target vessel myocardial infarction or target lesion revascularization.</p> <p><strong>Results: </strong>Overall, 66 (15.9%) female and 349 (84.1%) male patients were included; women were older (median age 70 vs. 66, p=0.003) and with lower BMI (25.0 vs. 26.1, p=0.010) compared to men, with no other relevant differences in baseline characteristics. Indication for percutaneous coronary intervention (PCI) was acute coronary syndrome in 86 (20.7%) of the cases, with no significant differences between male and female patients. A total of 558 lesions were treated with BP-SES stents, 90 in women and 468 in men (1.36 vs. 1.34 lesions per patient, p=0.83); cumulative stent length (33.6 mm vs. 38.4 mm, p=0.078) and mean stent diameter (2.92 mm vs. 3.0 mm, p=0.39) did not differ in women compared to men. Technical and clinical success was achieved in all patients. Stent thrombosis (ST) occurred in 2 (0.5%) patients, both males. TLF occurred in 10 (2.9%) men and in 2 (3.0%) women after a median follow-up of 402 days, without significant differences at log-rank analysis (2.34 events per 100 patient-years in males, 2.53 in females; p=0.80).</p> <p><strong>Conclusions. </strong>Ultrathin struts BP-SES showed a safe and effective option for the treatment of CAD in both women and men, with very low ST rate and favorable long-term outcomes</p>
Replication package for: The real effects of monetary expansions: evidence from a large-scale historical experiment
<p>The replication materials contain a README file, STATA datasets and do-files. This replication package for Palma (2021) constructs the entire analysis from the data sources described in the published paper, using STATA. The replicator should expect the code to run for less than 10 minutes.</p> <p>Palma, N. (2021). The real effects of monetary expansions: evidence from a large-scale historical experiment. Review of Economic Studies, forthcoming</p> <p> </p>
Perceived image quality of real time ray tracing in video games survey image archive
<p>These screenshots were used in my Bachelor’s Thesis Perceived image quality of real time ray tracing in video games survey. Images have been labeled with RT ON or RT OFF depending on whether the screenshot contains ray traced graphics or not. Original survey did not have these labels.<br> <br> Images 1-5 are from Control, Images 6-10 are from Shadow of the Tomb Raider, Images 11-15 are from Cyberpunk 2077 and Images 16-20 are from Metro Exodus and Metro Exodus Enhanced Edition.</p>
Molecule OCR Real images Dataset
<p>Test dataset from paper <strong>Image2SMILES: Transformer-based Molecular Optical Recognition Engine</strong>. The dataset contains 296 structures: images and Functional Groups SMILES (FG-SMILES). The structures were extracted from 24 papers, which were selected from each volume of Journal of Organic Chemistry (2020). </p>
Real Operatiοn Data from PV, WT, Battery (measurements from pilot site)
<p>Real Operatiοn Data from PV, WT, Battery (measurements from pilot site)</p>
CLEAR: Continual LEArning on Real-World Imagery
<p>Continual learning (CL) is considered as one of the next big challenges in AI. However, the existing CL benchmarks, e.g. Permuted-MNIST and Split-CIFAR, are artificially designed to be made continual and do not align with or generalize to real-world. In this paper, we introduce CLEAR, the first continual image recognition benchmark dataset with a natural temporal evolution of visual concepts in the real world that spans a decade (2004-2014). We build CLEAR from existing image collection (YFCC100M) by proposing a novel low-cost visio-linguistic dataset curation approach. It involves using pretrained vision-language models (e.g. CLIP) to quickly build high-quality labeled datasets on a tight budget. Finally, we post-process CLEAR via crowd-sourcing to remove errors and even inappropriate images hidden in original YFCC100M. The major strengths of CLEAR over prior CL benchmarks include (1) smooth and realistic temporal evolution of visual concepts with real-world imagery, enabling a more practical "online" (i.e., train on past, test on future) evaluation protocol (2) high-quality labeled data along with abundant unlabeled samples per time period for continual semi-supervised and unsupervised learning. Our extensive experiments reveal that mainstream "offline" evaluation protocols, which train and test on iid data, artificially inflate performance of CL systems, stressing the need for our "online" protocol since the models we train today will always be tested in future. Moreover, we find that state-of-the-arts CL algorithms that only utilize fully-supervised data fall short whereas unsupervised pretraining provides significant boost. Lastly, we introduce a biased reservoir-sampling algorithm that dynamically caches more recent training data, achieving the new state-of-the-arts while still leaving large room for improvement.</p>
Real-time geographic settling of a hybrid zone between the invasive winter moth (Operophtera brumata L.) and the native Bruce spanworm (O. bruceata Hulst)
<p>Hybridization plays an important and underappreciated role in shaping the evolutionary trajectories of species. Following the introduction of a non-native organism to a novel habitat, hybridization with a native congener may affect the probability of establishment of the introduced species. In most documented cases of hybridization between a native and a non-native species, a mosaic hybrid zone is formed, with hybridization occurring heterogeneously across the landscape. In contrast, most naturally occurring hybrid zones are clinal in structure. Here we report on a long-term microsatellite dataset that monitored hybridization between the invasive winter moth, <i>Operophtera brumata </i>(Lepidoptera: Geometridae), and the native Bruce spanworm, <i>O. bruceata, </i>over a 12-year period. Our results document one of the first examples of the real-time formation and geographic settling of a clinal hybrid zone. In addition, by comparing one transect in Massachusetts where extreme winter cold temperatures have been hypothesized to restrict the distribution of winter moth, and one in coastal Connecticut, where winter temperatures are moderated by Long Island Sound, we<i> </i>find that the location of the hybrid zone appears to be independent of environmental variables and maintained under a tension model wherein the stability of the hybrid zone is constrained by population density, reduced hybrid fitness, and low dispersal rates. Documenting the formation of a contemporary clinal hybrid zone may provide important insights into the factors that shaped other well-established hybrid zones.</p>
The inner mechanics of rhodopsin guanylyl cyclase during cGMP-formation revealed by real-time FTIR spectroscopy
<p>Enzymerhodopsins represent a recently discovered class of rhodopsins which includes histidine kinase rhodopsin, rhodopsin phosphodiesterases and rhodopsin guanylyl cyclases (RGCs). The regulatory influence of the rhodopsin domain on the enzyme activity is only partially understood and holds the key for a deeper understanding of intra-molecular signaling pathways. Here we present a UV-Vis and FTIR study about the light-induced dynamics of a RGC from the fungus <em>Catenaria anguillulae</em>, which provides insights into the catalytic process. After the spectroscopic characterization of the late rhodopsin photoproducts, we analyzed truncated variants and revealed the involvement of the cytosolic N-terminus in the structural rearrangements upon photo-activation of the protein. We tracked the catalytic reaction of RGC and the free GC domain independently by UV-light induced release of GTP from the photolabile NPE-GTP substrate. Our results show substrate binding to the dark-adapted RGC and GC alike and reveal differences between the constructs attributable to the regulatory influence of the rhodopsin on the conformation of the binding pocket. By monitoring the phosphate rearrangement during cGMP and pyrophosphate formation in light-activated RGC, we were able to confirm the M state as the active state of the protein. The described setup and experimental design enable real-time monitoring of substrate turnover in light-activated enzymes on a molecular scale, thus opening the pathway to a deeper understanding of enzyme activity and protein-protein interactions.</p>
Real-time solution of coupled Ehrenfest-Maxwell-Pauli-Kohn-Sham equations for a nanoplasmonic dimer, distance d = 0.5 nm
<p>Here we provide the movie mentioned in https://arxiv.org/abs/1812.05049 that shows the real-time dynamics of the nanoplasmonic dimer with distance $ d_1=0.5 $ nm. The time-evolution in the movie corresponds to the runs that we discuss in section VI. In the figure, we show a frame of the movie at time 8.33 fs. The upper two panels show contour plots of matter variables, the absolute value of the current density and the electron localized function (ELF). The most relevant Maxwell field variables, the electric field along the laser polarization direction z and the total Maxwell energy are presented in the lower panels. In the top of the figure, we show the incident laser pulse and at the center the geometry of the nanoplasmonic dimer.</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.