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470 results for “Evaluation dataset”
Small datasets(~5k cells) for UUATAC-AI test evaluation
<p>Small datasets(~5k cells) for UUATAC-AI test evaluation, and corresponding scripts are provided here.</p>
Dataset and code for "Methods to evaluate subcolumn profiles based on two-point diagnostics"
<p><strong>Description of included files</strong></p> <p>WRF code base (wrf_clubb_silhs.tar.gz)</p> <p>This WRF repo (using the stephens_et_al_2024_lidar_paper branch) can be used to generate both the high-resolution reproductions of LASSO runs with 60-second snapshot output (note that the resulting files will be quite large, it may be convenient to eliminate variables from the history stream), and the coarse-grained, essentially single-column model LASSO reproductions using CLUBB-SILHS. The code base was compiled with gfortran for the CLUBB-SILHS runs, and with ifort for the LES runs. The appropriate test case to compile is "em_crm", and within the wrf_clubb_silhs/WRF/test/em_crm directory there are two bash scripts that will automate the setup of the cases (and in the coarse-grained case, run the model as well). The bash scripts are named runlasso_silhs.bash and runlasso_les.bash, for the coarse-grained and LES versions respectively. For the coarse-grained CLUBB-SILHS cases, the user will need to modify the value of the vertical decorrelation coefficient (vert_decorr_coef) manually. This parameter can be modified in wrf_clubb_silhs/WRF/test/clubb_input/tunable_parameters/silhs_parameters.in.</p> <p> </p> <p>WRF-CLUBB-SILHS files</p> <p>These are output files from coarse-grained versions of the LASSO LES runs, on a 4x4 grid, with CLUBB-SILHS active. Two cases are included:</p> <ol> <li>vdc_10.tar.gz. This test uses the standard SILHS sampling algorithm, with a vertical decorrelation coefficient (VDC, or vert_decorr_coef in the SILHS source code) equal to 10.</li> <li>vdc_10_cdf.tar.gz. Uses new CDF sampling method described in the paper, with VDC=10.</li> <li>vdc_30.tar.gz. Uses standard sampling method, with VDC=30.</li> <li>vdc_30_cdf.tar.gz. Uses new CDF sampling method, with VDC=30.</li> </ol> <p> </p> <p>clubb_release.tar.gz</p> <p>This clubb_release git repo contains a branch, sample_w_using_invrs_cdf_tag_20240719, that includes code for the SILHS inverse CDF sampling method.</p> <p> </p> <p>Python script:</p> <p>The included python script will generate the figures and table shown in the paper, as long as the user has the WRF-CLUBB-SILHS files (included here) and the necessary LASSO and lidar files (not included). Note that the sampling technique in the paper incorporates some randomness so the table values will not be the same as in the paper but should be statistically identical. The script can also be found in the wrf_clubb_silhs.tar.gz code base, at wrf_clubb_silhs/WRF/scripts/stephens_et_al_2024_lidar_paper_figures.py.</p> <ul> <li>As mentioned above, the WRF-CLUBB-SILHS runs can also be reproduced using the included WRF code base and the wrf_clubb_silhs/WRF/test/em_crm/runlasso_silhs.bash script. </li> <li>The raw lidar and value-added product with lidar statistics can be obtained from the ARM Data Discovery site (<a href="https://adc.arm.gov/discovery/#/results">Data Discovery (arm.gov)</a>).</li> <li>The original LASSO files can be obtained through ARM's LASSO Bundle Browser (<a href="https://www.archive.arm.gov/lassobrowser">LASSO Bundle Browser (arm.gov)</a>).</li> <li>The LASSO reproductions with 60-second snapshot output would have to be generated by the user with the WRF code base included here and the wrf_clubb_silhs/WRF/test/em_crm/runlasso_les.bash script.</li> </ul>
Dataset for "Quantitative evaluation of probabilistic hazard mapping with polynomial chaos quadrature and its practical application"
<p>Dataset for the manuscript entitled "Quantitative evaluation of probabilistic hazard mapping with polynomial chaos quadrature and its practical application" by T. Tanabe, K. Tsunematsu, and K. Nishimura submitted to Journal of Geophysical Research: Earth Surface.</p> <p> </p>
How do users interact with Virtual Geographic Environments? Users' behavior evaluation in urban participatory planning [Dataset]
<p>VGEs used in the experimental study.</p>
Dataset: Evaluation of a Partector Pro for atmospheric size distribution and number concentration measurements at an urban background site
<p>Dataset for manuscript, titled "Evaluation of a Partector Pro for atmospheric size distribution and number concentration measurements at an urban background site", submitted to Aerosol Research</p> <p>Includes raw data from Partector Pro as .txt files and from MPSS as .csv files. Processed hourly and daily averages are provided as .xlsx file.</p>
SWISS MADE: Standardized WithIn class Sum of Squares to evaluate Methodologies And Dataset Elements
GEO Series GSE20234. Homo sapiens. 8 samples. Type: Expression profiling by array.
Synthetic Datasets from the Article titled Privacy-preserving Ground-truth Data for Evaluating Additive Feature Attribution in Regression Models with Additive CBR and CQV
<p>Synthetic datasets were generated as benchmarks capturing the intrinsic characteristics of original data to investigate the performance of additive feature attribution methods for regression tasks. The synthetic datasets were generated based on 2, 6 and 8 clusters formed with the original data. The 6-cluster dataset was used for primary analysis and the other two were used for sensitivity analysis.</p><p>The synthetic dataset was generated from the original data acquired from <a href="https://www.eurocontrol.int/dashboard/rnd-data-archive">Aviation Data for Research Repository</a>, which was collected and processed by <a href="https://www.eurocontrol.int/">EUROCONTROL</a> from the Enhanced Tactical Flow Management System (ETFMS) flight data messages containing all flights in Europe throughout the year 2019, from May to October. The original dataset consisted of fundamental details of the flights, flight status, preceding flight legs, ATFM regulations, weather conditions, calendar information, etc. </p><p>A brief description of the columns in the synthetic data files is presented in the file 'data_description.pdf' and a more detailed discussion on features can be found in the works of Koolen and Coliban [1] and Dalmau et al. [2].</p><p> </p><p><strong>References</strong><br>[1] H. Koolen and I. Coliban, <a href="https://www.eurocontrol.int/sites/default/files/2020-06/flight-progress-msg-update-230620.pdf">Flight Progress Messages Document</a>, EUROCONTROL, Brussels, Belgium, Tech. Rep., 2020.<br>[2] R. Dalmau, F. Ballerini, H. Naessens, S. Belkoura, and S. Wangnick, <a href="https://www.sciencedirect.com/science/article/pii/S0969699721000739">An Explainable Machine Learning Approach to Improve Take-off Time Predictions</a>, Journal of Air Transport Management, vol. 95, p. 102 090, Aug. 2021. doi: 10.1016/j.jairtraman.2021.102090.</p><p><br> </p>
NeuralPLexer evaluation datasets and predictions.
<p>NeuralPLexer model checkpoints, downstream evaluation datasets, and predicted structures.</p>
Dataset for Deliverable D6.1 "Multicriteria evaluation system for EOMs use"
Open the record for dataset details and reuse information.
Dataset: Justify your disability! A simulated medical evaluation as a robust novel stress induction paradigm in chronic pain patients.
<p><span>Maladaptive stress responses may exacerbate chronic widespread pain (CWP) and deserve further investigations. Yet, existing stress induction paradigms lack relevance for individuals with this condition. Hence, we developed the Social Benefits Stress Test (SBST), adapted from the Trier Social Stress Test. <span>Instead of a job interview, the main task consists in justifying the inability to work.</span> </span></p> <p><span><span>Forty women with CWP in the context of hypermobile Ehlers-Danlos syndrome or hypermobility spectrum disorders were included. They underwent a 30-min baseline, the new stress task and a recovery period. The psychophysiological stress response was captured using self-reported stress ratings, salivary cortisol and α-amylase levels, as well as continuous physiological monitoring of heart rate variability (HRV) and electrodermal activity (EDA).</span></span><span> </span></p> <p><span>Compared to baseline, the analysis revealed </span><span>a significant and transient increase in stress ratings </span><span>during the stress task,</span><span> </span><span>associated with a peak in salivary biomarkers concentrations.</span><span> </span><span>The </span><span>HRV signal analysis showed a significant </span><span>decrease in high frequency power (HF), and </span><span>increases in heart rate,</span><span> </span><span>low frequency power (LF) and in LF/HF ratio. The EDA analysis revealed a significant increase in skin conductance level (SCL) tonic component and skin conductance response (SCR). Subjective </span><span>stress ratings positively correlated with changes in salivary biomarkers, LF/HF ratio and EDA outcomes</span><span>.</span></p> <p><span>The SBST induced a reproducible moderate stress response across subjective and physiological measures in a population of CWP patients, validating this task as a relevant experimental model of social stress in chronic pain. The SBST is a useful tool to study the relationship between stress and chronic pain.</span></p>
Evaluation of TCP/IP-based OS fingerprinting methods using new datasets
<p><strong>Datasets, published along side planned research paper "Evaluation of TCP/IP-based OS fingerprinting methods using new datasets". Datasets contain OS annotated networks flow, exported via <a href="https://github.com/CESNET/ipfixprobe">ipfixprobe</a>.<br></strong></p> <p><strong>Four datasets (subnet1, subnet2, subnet3, subnet4) were captured in the reserach network <a href="https://cesnet.cz/en/sit-cesnet3-eng">CESNET3</a> and annotated using HTTP user-agent, HTTP Host Name, TLS SNI, QUIC SNI, hand annotation, reverse DNS lookup and Shodan. The first subnet (subnet1) contains networks of several small institutions, the other three (subnet2-4) belong to large universities. </strong></p> <p><strong>Dataset local1 was captured on local private network and was annotated manually with information from DHCP logs and intern clients database. </strong></p> <p><strong>All data were captured same day in March 2024.</strong></p> <p><strong>Link to the research paper and citation will be added, when available.</strong></p> <pre>----------------------------------------------------------------------------</pre> <pre><strong>Datasets contents:</strong><br><br>| Dataset | Flow count | Unique devices | Features | Unique OS |<br>|----------|------------|----------------|----------|-----------|<br>| subnet1 | 2,199,185 | 3605 | 20 | 5 |<br>| subnet2 | 5,670,778 | 4520 | 20 | 5 |<br>| subnet3 | 4,550,439 | 5736 | 20 | 5 |<br>| subnet4 | 2,973,367 | 3803 | 20 | 5 |<br>| local1 | 17,310,217 | 984 | 6 | 5 |<br>|----------|------------|----------------|----------|-----------|<br>| Total | 32,703,986 | 18,648 |<br><br>----------------------------------------------------------------------------<br><br><strong>Class distribution across the datasets:</strong><br><br>| Dataset | Android | iOS | Linux | macOS | Windows |<br>|---------|------------|------------|------------|------------|-------------|<br>| subnet1 | 40,738 | 671 | 32,818 | 19,754 | 2,105,203 |<br>| subnet2 | 102,554 | 15,517 | 241,682 | 260,246 | 5,050,778 |<br>| subnet3 | 266,805 | 10,285 | 109,849 | 295,035 | 3,868,464 |<br>| subnet4 | 27,290 | 1,151 | 33,582 | 113,008 | 2,798,335 |<br>| local1 | 4,133,253 | 1,703,947 | 177,842 | 1,452,872 | 9,842,302 |<br><br>----------------------------------------------------------------------------<br><br><strong>Included features in datasets subnet1, subnet2, subnet3 and subnet4:</strong></pre> <pre>| OS_LABEL | OS annotation label |<br>| DST_PORT | transport layer destination port |<br>| SRC_PORT | transport layer source port |<br>| TCP_SYN_SIZE | TCP SYN packet size |<br>| TCP_WIN | TCP window size |<br>| TCP_WIN_REV | TCP window size |<br>| TCP_MSS | TCP maximum segment size |<br>| PACKETS | number of packets in data flow (src to dst) |<br>| PACKETS_REV | number of packets in data flow (dst to src) |<br>| BYTES | number of bytes in data flow (src to dst) |<br>| BYTES_REV | number of bytes in data flow (dst to src) |<br>| TCP_OPTIONS | TCP options bitfield |<br>| TCP_OPTIONS_REV| TCP options bitfield |<br>| DIR_BIT_FIELD | bit field for determining outgoing/incoming traffic |<br>| FLOW_END_REASON| FlowEndReason [RFC5102] |<br>| L3_FLAGS | L3 FLAGS |<br>| L3_FLAGS_REV | L3 FLAGS |<br>| PROTOCOL | transport protocol |<br>| TCP_FLAGS | TCP protocol flags (src to dst) |<br>| TCP_FLAGS_REV | TCP protocol flags (dst to src) |<br>| TTL | IP TTL field (rounded to nearest higher power of two) |<br>| TTL_REV | IP TTL field |<br><br>----------------------------------------------------------------------------<br><br><strong>Included features in dataset local1:</strong><br><br>| OS_LABEL | OS annotation label |<br>| SRC_PORT | transport layer source port |<br>| TCP_SYN_SIZE | TCP SYN packet size |<br>| TCP_WIN | TCP window size |<br>| TCP_MSS | TCP maximum segment size |<br>| PROTOCOL | transport protocol |<br>| TTL | IP TTL field (rounded to nearest higher power of two) |<br><br>Detailed information about included fields can be found on the website: <br><a href="https://github.com/CESNET/ipfixprobe">https://github.com/CESNET/ipfixprobe</a></pre> <pre>----------------------------------------------------------------------------<br><br>For more information, contact author via email address(hulakmat@fit.cvut.cz).</pre>
RemFX: Evaluation Datasets
<p>Evaluation datasets for paper <a href="https://arxiv.org/abs/2308.16177">General Purpose Audio Effect Removal</a>. </p> <p> </p> <p>These datasets are initially sourced from <a href="https://zenodo.org/record/1442513">VocalSet</a>, <a href="https://zenodo.org/record/3371780">GuitarSet</a>, <a href="https://sigsep.github.io/datasets/dsd100.html">DSD100</a>, and <a href="https://zenodo.org/record/7544164">IDMT-SMT-Drums</a> datasets before being processed in our dataset generation script.</p> <p>The datasets are named according to the number of effects applied (0-5). For example, 2-2.zip contains 2 effects applied to each input audio example. The targets are left untouched. The audio effects applied are from the set (Distortion, Delay, Dynamic Range Compressor, Phasor, Reverb) and randomly sampled without replacement for each example. </p> <p>Each example is stored in a folder (0-999) and contains four files</p> <ul> <li>input.wav (clean)</li> <li>target.wav (effected)</li> <li>wet_effects.pt (serialized PyTorch file containing a list of the present effects (order))</li> <li>dry_effects.pt (unused for this dataset)</li> </ul> <p>The wet effects list is in the order of Reverb, Chorus, Delay, Distortion, Compressor</p> <p>More information can be found on the <a href="https://github.com/mhrice/RemFx">github repo</a> and our <a href="https://csteinmetz1.github.io/RemFX/">audio examples</a>. </p>
Evaluating the Benefits of RSV Maternal Vaccination Using a Scottish National Dataset
ClinicalTrials.gov study NCT07235397. IPD Sharing: NO. Countries: 0. Publications: 0.
Dataset related to article "Re-irradiation for recurrent glioma: outcome evaluation, toxicity and prognostic factors assessment. A multicenter study of the Radiation Oncology Italian Association (AIRO)"
<p>Abstract</p> <p>INTRODUCTION:</p> <p>The prognosis of glioma is dismal, and almost all patients relapsed. At recurrence time, several treatment options are considered, but to date there is no a standard of care. The Neurooncology Study Group of the Italian Association of Radiation Oncology (AIRO) collected clinical data regarding a large series of recurrent glioma patients who underwent re-irradiation (re-RT) in Italy.</p> <p>METHODS:</p> <p>Data regarding 300 recurrent glioma patients treated from May 2002 to November 2017, were analyzed. All patients underwent re-RT. Surgical resection, followed by re-RT with concomitant and adjuvant chemotherapy was performed. Clinical outcome was evaluated by neurological examination and brain MRI performed, 1 month after radiation therapy and then every 3 months.</p> <p>RESULTS:</p> <p>Re-irradiation was performed at a median interval time (IT) of 16 months from the first RT. Surgical resection before re-RT was performed in 19% of patients, concomitant temozolomide (TMZ) in 16.3%, and maintenance chemotherapy in 29%. Total doses ranged from 9 Gy to 52.5 Gy, with a median biological effective dose of 43 Gy. The median, 1, 2 year OS were 9.7 months, 41% and 17.7%. Low grade glioma histology (p  ≪ 0.01), IT > 12 months (p = 0.001), KPS > 70 (p = 0.004), younger age (p = 0.001), high total doses delivered (p = 0.04), and combined treatment performed (p = 0.0008) were recorded as conditioning survival.</p> <p>CONCLUSION:</p> <p>our data underline re-RT as a safe and feasible treatment with limited rate of toxicity, and a combined ones as a better option for selected patients. The identification of a BED threshold able to obtain a greater benefit on OS, can help in designing future prospective studies.</p>
Dataset related to article "The 70-year-old newly diagnosed glioblastoma patients are older thanthe 65-year-old? Outcome evaluation of the two categories in a matchedcase control study with propensity score balancing"
<p>This record contains raw data related to article “The 70-year-old newly diagnosed glioblastoma patients are older thanthe 65-year-old? Outcome evaluation of the two categories in a matchedcase control study with propensity score balancing"</p> <p>Background: The standard of care for elderly, newly-diagnosed glioblastoma patients consists, if feasible,</p> <p>of surgical resection followed by a short course of radiation therapy (RT) with concomitant and adjuvant</p> <p>temozolomide chemotherapy (TMZCHT). To date, the literature lacks of consistence in the definition of</p> <p>elderly, if older than 65 years, or 70 years. Aim of this study was to explore whether differences exist</p> <p>between these two cohorts, comparing outcomes using a propensity score matched analysis (PSM).</p> <p>Conclusions: The PSM analyses showed a similar outcome in 65–69-year old patients compared to older</p> <p>ones notwithstanding a more burdensome RT schedule. Hypofractionated RT treatment has to be considered</p> <p>also in this group of younger elderly, newly-diagnosed GBM patients.</p>
Sample dataset for 'Numerical Evaluation on the Potential of Temperature-Sensitive Nanoparticle Tracers in Enhanced Geothermal Systems'
<p>The archive contains the input-file and output results for an exemplary simulation using our in-house codes which are built on the finite element simulator-PorousFlow module within the MOOSE framework.<br>These results are the basis for the reproduction of the Figures 2, 3(a), 4((a) and (b)), 5(a1), 6(a1), 10(c1) and 11(c1) of the manuscript entiteled:<br>'Numerical Evaluation on the Potential of Temperature-Sensitive Nanoparticle Tracers in Enhanced Geothermal Systems' submitted to Water Resources Research. </p>
Working Data and Evaluation Data for STRIDE F4 Project (Project O6 uses same datasets)
<p>As our STRIDE O6 project is the extension of F4. F4 and O6 utilized the same data, which composed of two datasets:</p> <p>1. BSMP1.csv.zip is the working data. This data set was acquired by free download from DATA.GOV at:</p> <p>https://catalog.data.gov/dataset/safety-pilot-model-deployment-data/resource/4029f4ea-43f6-4b2d-8a33-1c2b690ba416</p> <p>As the data size is 55.71 GB, which exceeds the upload limit, we can not upload it here. Notice it can be downloaded free from the link above.</p> <p>2. Export.7z is the evaluation data. This data was purchased from VITT. </p> <p>Both datasets are in the format of CSV. For detail, please refer to our project final report.</p> <p> </p>
dataset related to article "Evaluation of oro-phonatory development and articulatory diadochokinesis in a sample of Italian children using the protocol of Robbins & Klee"
<p>The database contains the raw data related to the Italian adaptation of the protocol of Robbins & Klee.</p> <p>It shows the performance of 191 children aged 2.6–6.11 years.</p> <p>The protocol consists of 86 items designed to assess separately structural factors by means of a Total Structural Score (TSS) and functional factors by means of a Total Functional Score (TFS); TFS is the sum of an Oral Function Score (OFS) and Phonatory Function Score (PFS).</p> <p>The protocol is completed by six items aimed at assessing duration and speed: Maximum Phonation Time (MPT), the Speed of Monosyllable Repetition (SMR), and the Speed of Polysyllable Repetition (SPR).</p>
Dataset related to the article "Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension"
<p>This record contains raw data related to the article “Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension”</p> <p>Background: The right ventricle (RV) plays a pivotal role in cardiovascular diseases and 3-dimensional echocardiography (3DE) has gained acceptance for the evaluation of RV volumes and function. Recently, a new artificial intelligence (AI)–based automated 3DE software for RV evaluation has been proposed and validated against cardiac magnetic resonance. The aims of this study were three-fold: (i) feasibility of the AI-based 3DE RV quantification, (ii) comparison with the semi-automatic 3DE method and (iii) assessment of 2-dimensional echocardiography (2DE) and strain measurements obtained automatically. Methods: A total of 203 subject (122 normal and 81 patients) underwent a 2DE and both the semi-automatic and automatic 3DE methods for Doppler standard, RV volumes and ejection fraction (RVEF) measurements. Results: The automatic 3DE method was highly feasible, faster than 2DE and semi-automatic 3DE and data obtained were comparable with traditional measurements. Both in normal subjects and patients, the RVEF was similar to the two 3DE methods and 2DE and strain measurements obtained by the automated system correlated very well with the standard 2DE and strain ones. Conclusions: results showed that rapid analysis and excellent reproducibility of AI-based 3DE RV analysis supported the routine adoption of this automated method in the daily clinical workflow.</p>
Dataset related to article "Is surgical resection useful in elderly newly diagnosed glioblastoma patients? Outcome evaluation and prognostic factors assessment"
<p>This record contains raw data related to article "Is surgical resection useful in elderly newly diagnosed glioblastoma patients? Outcome evaluation and prognostic factors assessment"</p> <p>ABSTRACT:</p> <p>BACKGROUND: The incidence of glioblastoma among elderly patients is constantly increasing. The value of radiation therapy and concurrent/adjuvant chemotherapy has been widely assessed. So far, the role of surgery has not been thoroughly investigated. The study aimed to evaluate safety and impact of several entities of surgical resection on outcome of elderly patients with newly diagnosed glioblastoma treated by a multimodal approach.</p> <p>METHODS:</p> <p>Patients ≥ 65 years, underwent surgery were included. The extent of surgical resection (EOR) was defined as complete resection (CR = 100%), gross total resection (GTR = 90-99%), sub-total resection (STR = 78-90%), partial resection (PR = 30-78%), and biopsy. After surgery, all patients received adjuvant radiotherapy (60/2 Gy fraction) with concomitant/adjuvant temozolomide chemotherapy.</p> <p>RESULTS:</p> <p>From March 2004 to December 2015, 178 elderly with a median age of 71 years (range 65-83 years) were treated. CR was obtained in 8 (4.5%), GTR in 63 (35.4%), STR in 46 (25.8%), PR in 16 (9.0%), and biopsy in 45 (25.3%). RT was started in all patients, concurrent/adjuvant CHT in 149 (83.7%) and 132 (74.2%). The median follow-up time was 12.2 months (range 0.4-50.4 months). The median, 1- and 2-year progression-free survival was 8.9 months (95%CI 7.8-100 months), 32.0 ± 3.5%, and 12.9 ± 2.6%. The median, 1- and 2-year overall survival were 12.2 (95%CI 11.3-13.1 months), 51.1 ± 3.7%, and 16.3 ± 2.9%. Tumor location, extent of resection, and neurological status after surgery statistically affected survival (p ≪ 0.01).</p> <p>CONCLUSION:</p> <p>Maximal surgical resection is safe and feasible in elderly patients with influence on survival. A preoperative evaluation has to be carried out.</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.