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88 results for “FTIR”
FTIR spectral library of the major components of archaeological sediments
<p>FTIR spectra of the major components of archaeological sediments. Spectra were collected using a Thermo Scientific Nicolet iS5 spectrometer equipped with an iD1 transmission compartment in the 4000-400 cm-1 range at 4 cm-1 resolution, and in 32 scans. Spectra were collected with the same instrument and settings in ATR mode using an iD7 ATR diamond crystal compartment. Spectra are available in .spa and .csv formats.</p>
Data Repository for Peatland Organic Matter Quality Varies with Latitude as Confirmed from FTIR and Ramped Pyrolysis Oxidation
<p><strong>Data information:</strong></p> <p>This is the dataset for a study by Sparrow et al. comparing the organic matter quality of peat cores in four climates (tropical, subtropical, boreal, and polar) using multiple analytical approaches. Data for 16 samples (samples from 4 depths in each of the 4 cores) are presented in the study and all relevant and necessary data are published in this repository:</p> <ul> <li>14C content and d13C results for 1) bulk and 2) ramped pyrolysis oxidation splits and standard materials</li> <li>Elemental analysis results (%C, %N, C:N)</li> <li>FTIR spectra from 650-4000 cm-1</li> <li>Ramped pyrolysis oxidation run data (time, sample oven temperature, baseline-corrected CO2 concentration)</li> </ul> <p><strong>Sample information:</strong></p> <ul> <li>The Tropical peat samples were collected from a core obtained in November 2011, “MDM11-2A,” (4.3727°N, 114.3550°E) in the Ulu Mendaram Conservation Area in the Belait District of Brunei Darussalem, northwest Borneo.</li> <li>The Subtropical peat samples were collected from the “Lox3” core (26.597°N, 80.357°W) in October 2015 from the Loxahatchee National Wildlife Refuge, Florida.</li> <li>The Boreal peat samples were collected from the “T3F” core (47.5063°N, 93.4527°W) from S1 Bog in July 2012 from the Marcell Experimental Forest, near Grand Rapids, Minnesota.</li> <li>The Polar peat samples were collected from the “CPP” core (68.3531°N, 19.0473°E) in June 2012 from Stordalen Mire, a peat plateau underlain by discontinuous permafrost near Abisko, Sweden.</li> </ul>
The kinetics of arsenolite inclusion compounds formation with hydrogen and helium - FTIR data
<p>Raw FT-IR spectra of arsenolite and its inclusion compound with hydrogen. The spectra were collected at the Synchrotron SOLEIL during beamtime under proposal no. 20210258</p>
COCO dataset and neural network weights for micro-FTIR particle detection on filters.
<h3>The IMPTOX project has received funding from the EU's H2020 framework programme for research and innovation under grant agreement n. 965173. Imptox is part of the European MNP cluster on human health.</h3> <p>More information about the project <a href="https://www.imptox.eu/en/">here</a>.</p> <p><strong>Description:</strong> This repository includes the trained weights and a custom COCO-formatted dataset used for developing and testing a Faster R-CNN R_50_FPN_3x object detector, specifically designed to identify particles in micro-FTIR filter images.</p> <p><strong>Contents:</strong></p> <ol> <li> <p><strong>Weights File (<code>neuralNetWeights_V3.pth</code>):</strong></p> <ul> <li>Format: .pth</li> <li>Description: This file contains the trained weights for a Faster R-CNN model with a ResNet-50 backbone and a Feature Pyramid Network (FPN), trained for 3x schedule. These weights are specifically tuned for detecting particles in micro-FTIR filter images.</li> </ul> </li> <li> <p><strong>Custom COCO Dataset (<code>uFTIR_curated_square.v5-uftir_curated_square_2024-03-14.coco-segmentation.zip</code>):</strong></p> <ul> <li>Format: .zip</li> <li>Description: This zip archive contains a custom COCO-formatted dataset, including JPEG images and their corresponding annotation file. The dataset consists of images of micro-FTIR filters with annotated particles.</li> <li>Contents: <ul> <li><strong>Images:</strong> JPEG format images of micro-FTIR filters.</li> <li><strong>Annotations:</strong> A JSON file in COCO format providing detailed annotations of the particles in the images.</li> </ul> </li> <li>Management: The dataset can be managed and manipulated using the <a href="https://pypi.org/project/pycocotools/">Pycocotools</a> library, facilitating easy integration with existing COCO tools and workflows.</li> </ul> </li> </ol> <p><strong>Applications:</strong> The provided weights and dataset are intended for researchers and practitioners in the field of microscopy and particle detection. The dataset and model can be used for further training, validation, and fine-tuning of object detection models in similar domains.</p> <p><strong>Usage Notes:</strong></p> <ul> <li>The <code>neuralNetWeights_V3.pth</code> file should be loaded into a PyTorch model compatible with the Faster R-CNN architecture, such as Detectron2.</li> <li>The contents of <code>uFTIR_curated_square.v5-uftir_curated_square_2024-03-14.coco-segmentation.zip</code> should be extracted and can be used with any COCO-compatible object detection framework for training and evaluation purposes.</li> <li>Code can be found on the related <a href="https://github.com/ThibaultSchowing/IMPTOX" target="_blank" rel="noopener">Github repository.</a></li> </ul> <p> </p>
FTIR-ATR Spectra of Pelagic Sargassum Specimens under Different Flash-Freeze Timing and Cryogenic Storage Conditions
<p><strong>About the data set origin</strong></p> <p>The dataset comprises ATR-FTIR spectral CSV files of pelagic <em>Sargassum</em> specimens, including <em>S. fluitans</em> III (labeled "flu3" in the sample ID), <em>S. natans</em> I (labeled "nat1"), and <em>S. natans</em> VII (labeled "nat8"). The specimens were collected from three sites on the south Mexican Caribbean coast: Mahahual (labeled "Ma"), Xcalak (labeled "Xk"), and Xahuayxol (labeled "Xa"). The experimental design includes a treatment condition based on the timing of flash-freezing: the fresh group (labeled d00) and the lab group (labeled d01). The fresh group was flash-frozen on the shore and stored under cryogenic conditions, while the lab samples were flash-frozen upon arrival at the laboratory facilities. The sample IDs are listed in <strong>Table 1</strong>.</p> <p><strong>About the Equipment and Data Acquisition</strong></p> <p>All ATR-FTIR analyses were conducted using a Nicolet iS5 from Thermo Scientific (USA), equipped with an iD7 accessory and a ZnSe crystal plate. The Thermo Scientific OMNIC software was used for the analysis. Background noise was removed from all spectra. The spectral acquisition range spanned from 500 to 4000 cm⁻¹, with 32 scans per sample and a spectral resolution of 4 cm⁻¹, resulting in a data spacing of 0.482 cm⁻¹. Each sample was analyzed in triplicate.</p> <p><strong>Table 1</strong>. Sample ID and size for the flash-freeze comparison dataset</p> <table> <tbody> <tr> <td> <p><strong>Site</strong></p> </td> <td> <p><strong>Morphotype</strong></p> </td> <td> <p><strong>Flash-freeze treatment</strong></p> </td> <td> <p><strong>Samples collected</strong></p> </td> <td> <p><strong>Samples read in triplicate</strong></p> </td> </tr> <tr> <td>Mahahual (Ma)</td> <td><em>S. fluitans</em> III (flu3)</td> <td>Fresh (d00)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em> </em></td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> I (nat1)</td> <td>Fresh (d00)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> VIII (nat8)</td> <td>Fresh (d00)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td>Xahuayxol (Xa)</td> <td><em>S. fluitans</em> III (flu3)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td><em> </em></td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> I (nat1)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> VIII (nat8)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td>Xcalak (Xk)</td> <td><em>S. fluitans</em> III (flu3)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> I (nat1)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> VIII (nat8)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td> </td> <td><strong>Total </strong></td> <td><strong>30</strong></td> <td><strong>90</strong></td> </tr> </tbody> </table>
Identification of microplastics isolated from Rusanda peloid (Serbia) with ATR-FTIR
<p>This dataset contains unprocessed FTIR spectra from the isolated microplastic candidates from the peloid sample from Rusanda Lake (Serbia). The spectra were processed with OpenSpecy 1.0 (https://openanalysis.org/openspecy/), an open-source spectral processing and matching tool (Cowger et al., 2021). The processed spectra are included as a separate folder in the dataset, together with top library matches for each spectrum. </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>
Identification of glucose-6 phosphate dehydrogenase deficient patients by ATR-FTIR spectroscopy using partial least squares discriminant analysis in aqueous blood samples
<p>Dataset of associated MIR spectra collected in the titled study</p> <p>Baseline: spectrum of air</p> <p>Water: spectrum of deionised water</p> <p>P#_M/F_GD/P/C/T/U_WB/PL/RBC_D/AQ_R: sample spectrum with each section representing the following</p> <ul> <li>P#: patient number 1-30</li> <li>M (male) or F(Female)</li> <li>GD (G6PD deficient), P (Partially G6PD deficient), C & T & ET(Control), U(Unknown) <ul> <li>P10, P28, P29, & P30 were determined later to be P, C, C, P respectively</li> </ul> </li> <li>WB (whole blood), PL (plasma), RBC (red blood cells)</li> <li>D (dried sample spectrum), AQ (aqueous sample spectrum)</li> </ul>
Fourier-transformed infrared (FTIR) spectra of the paper "Untangling the role of biotic and abiotic ageing of various environmental plastics toward the sorption of metals"
<p>The dataset include Fourier-transformed infrared (FTIR) spectra of UV aged and biofouled environmental plastics, used for the publication "Untangling the role of biotic and abiotic ageing of various environmental plastics toward the sorption of metals" (the paper is available at the following link: <a href="https://doi.org/10.1016/j.scitotenv.2023.164807">https://doi.org/10.1016/j.scitotenv.2023.164807</a>).</p> <p>The dataset is organized as follows:</p> <p>-All samples contains metadata considering polymer type (polylactic acid (PLA), polypropylene (PP), and polyethylene (PE)), the type of ageing treatment (UV ageing, biofouling and UV ageing-biofouling), the amount of time (in hours) of treatment and the number of replicate sample analyzed.</p> <p>-for every sample the raw data (scaled for the maximum absorbance value) of the FT-IR spectrum is given.</p> <p>Further experimental details are listed in the manuscript text.</p>
Passive Open-Path Fouriertransform Infrared spectroscopy (OP-FTIR) measurements in the Arctic environment of Ny Ålesund / Svalbard 2023
<p>In the Polar MOSES campaign 2023, a ground-based remote sensing method – OP-FTIR spectroscopy- which is proven to be a flexible long-path technique for the characterization of larger areas was used. This method is able to simultaneously detect various volatile atmospheric compounds relevant for environmental assessment with a single rapid measurement. Many greenhouse gas molecules (e.g., CO<sub>2</sub>, H<sub>2</sub>O, CH<sub>4</sub>) have unique signatures (absorption or emission bands) in the measured spectral IR range. IR spectroscopy allows spatial and non-invasive characterization of emissions and is a useful method to capture emissions along the coastline, both seaward and landward.</p> <p>The passive technique was applied in a mobile mode to obtain IR spectra at different relevant locations. In order to investigate the near surface atmospheric composition, the mobile passive OP-FTIR spectroscopic scanning measurements was executed with Bruker RAPID devices to cover marine and terrestrial areas. The RAPID passive detection systems was deployed for 360° remote sensing of threats at distances up to 5000 m. Initially, the survey's primary objective was to qualitatively interpret spectra, enabling the identification of emission sources and the characterization of the heterogeneous emission pattern. This was achieved through the measurements in different directions to allow the direct comparisons of the various compartments under investigation and their potential interactions.</p>
Time and spatially-resolved Fourier-Transform Infrared (FTIR) Spectromicroscopy of cellulose in buffered reactions with Trichoderma reesei Cel7A
Open the record for dataset details and reuse information.
FTIR, TGA/DSC, BET, and WCA analyses of materials, as well as effects of parameters on isolating cellulose fibers from reed
Open the record for dataset details and reuse information.
The inner mechanics of rhodopsin guanylyl cyclase during cGMP-formation revealed by real-time FTIR spectroscopy
Open the record for dataset details and reuse information.
Charts of TGA and FTIR of biopolemers and their resulted AgNPs
This work deals with evaluating the performance of silver nanoparticles (AgNPs) synthesized from sodium caseinate as green biological active agent, in comparison with famous used carboxymethyl cellulose and other carbohydrates (oxidized nanocellulose fibers (OC) and starch (St)). The TGA, FT-IR, TEM as well as its anti-biological behaviour toward gram negative bacteria, gram positive bacteria and Candida albicans .are examined. With regard to its anti-tumour activity, the evaluation is studied via many cancer cell lines against RPE1 (normal retina cell line)]. The data obtained reveal that, the SC-Ag(I) and CMC-Ag(I) complexes are formed in six and five-membered ring geometrical structures; respectively, as nanoparticles; while linear chelation structure is formed in case of OC-Ag (I) and St-Ag(I) complexes. The SC-AgNPs, provides greatest inhibition zone, especially +ve bacteria and fungus. It is recommended as promising and safety anti-cancer treating agents, especially towards HCT116 and PC3 (IC50 25.8 µg/ml & 45.1 µg/mL and SI 2.8->3.9).
Obtenção do óxido de grafeno pelo método de Hummers: Caracterização por DRX, FTIR, Raman e TEM
<p>Vídeo apresentado na XIV Jornada de Ciência e Tecnologia – UEZO no período de 6 a 7 de outubro de 2021</p><p>Projeto de Pesquisa Faperj E-26 -010.002.372/2019</p><p>Projeto de Extensão PROEXT/UEZO/2019 : Estudo e desenvolvimento de oficinas interdisciplinares</p><p>Projeto de Extensão PROEXT /UEZO/2019 Projetos e Debates: Idealização, preparação e apresentação</p>
Crystal structure, PXRD, FTIR-ATR, thermal analysis, DFT and ESP data
<p>The zip file contains folder with selected PXRD, FTIR-ATR, thermal analysis, single crystal structure (CIF) data, as well as calculated ESP data, as well as data relevant for periodic DFT calculations.</p>
FTIR-Plastics: a Fourier Transform Infrared Spectroscopy dataset for the six most prevalent industrial plastic polymers.
<p><span><span>Two datasets are presented: FTIR-Plastics-C4 and FTIR-Plastics-C8, comprising 6,000 spectra obtained through Fourier Transform Infrared Spectroscopy (FTIR) applied to the six most used synthetic polymers: Polyethylene Terephthalate (PET), High-Density Polyethylene (HDPE), Polyvinyl Chloride (PVC), Low-Density Polyethylene (LDPE), Polypropylene (PP), and Polystyrene (PS). The key feature of the datasets lies in the FTIR analysis, which reports the percentage transmittance as the intensity measure as a function of the wavelength of an Infrared light source, expressed as wavenumber (with units in cm</span></span><sup><span><span>-1</span></span></sup><span><span>). FTIR analysis was performed using a Jasco FTIR PRO 4x spectrophotometer with a wavenumber resolution setting of 8 cm</span></span><sup><span><span>-1</span></span></sup><span><span> for FTIR-Plastics-C8 and 4 cm</span></span><sup><span><span>-1</span></span></sup><span><span> for FTIR-Plastics-C4, both employing a configuration of 32 scans and a range from 4000 to 400 cm</span></span><sup><span><span>-1</span></span></sup><span><span>. The datasets are presented in CSV (comma-separated values) format, including the following information (per each column):</span></span></p> <ul> <li> <p><span><span><strong>IDE</strong></span></span><span><span>: unique identifier of the sample.</span></span></p> </li> <li> <p><span><span><strong>Polymer: </strong></span></span><span><span>type of synthetic polymer (PET, HDPE, PVC, LDPE, PP, or PS).</span></span></p> </li> <li> <p><span><span><strong>Technique: </strong></span></span><span><span>Type of technique used (FTIR).</span></span></p> </li> <li> <p><span><span><strong>Sample: </strong></span></span><span><span>polymer sample number.</span></span></p> </li> <li> <p><span><span><strong>BR</strong></span></span><span><span>: scanning configuration (32).</span></span></p> </li> <li> <p><span><span><strong>RST</strong></span></span><span><span>: resolution configuration (8 or 4 cm</span></span><sup><span><span>-1</span></span></sup><span><span>).</span></span></p> </li> <li> <p><span><span><strong>Data (x) y Data(y): </strong></span></span><span><span>1884 pairs of columns for FTIR-Plastics-C8 and 3751 pairs of columns for FTIR-Plastics-C4, representing values on the "x" axis (wavenumber) and the "y" axis values associated with molecular vibration intensities, indicating the transmittance (%), which differentiates each polymer.</span></span></p> </li> </ul> <p><span><span>Additionally, the files generated by the Jasco spectrophotometer for each polymer are provided, which were standardized by adding a header with the following structure:</span></span></p> <ul> <li> <p><span><span>TITLE SAMPLE NAME: referring to the name of the analyzed polymer.</span></span></p> </li> <li> <p><span><span>DATA TYPE: specifying the characterization technique.</span></span></p> </li> <li> <p><span><span>MEASUREMENT INFORMATION: equipment used for data collection.</span></span></p> </li> <li> <p><span><span>MODEL NAME: name of the equipment used.</span></span></p> </li> <li> <p><span><span>SERIAL No: serial number assigned to the equipment used.</span></span></p> </li> <li> <p><span><span>ACCESSORY: complementary device integrated into the equipment.</span></span></p> </li> <li> <p><span><span>LIGHT SOURCE: standardized light source related to the DLATGS detector.</span></span></p> </li> <li> <p><span><span>RESOLUTION: parameters are used to distinguish the wavenumber in the analyzed materials.</span></span></p> </li> <li> <p><span><span>XUNIT/HORIZONTAL AXIS: referring to the unit’s title assigned on the x-axis.</span></span></p> </li> <li> <p><span><span>YUNITS/VERTICAL AXIS: referring to the unit’s title designated on the y-axis.</span></span></p> </li> <li> <p><span><span>FIRSTX: initial value set for the x-axis.</span></span></p> </li> <li> <p><span><span>FIRSTY: initial value set for the y-axis.</span></span></p> </li> <li> <p><span><span>LASTX: final value set for the x-axis.</span></span></p> </li> <li> <p><span><span>LASTY: final value set for the y-axis.</span></span></p> </li> <li> <p><span><span>NPOINTS: total data points in the file.</span></span></p> </li> </ul> <p><span><span>Data collection was carried out meticulously, following specific steps to ensure the accuracy and reliability of the results. The calibration certificates issued by the supplier (calibration_certificate.pdf) corresponding to the equipment used in the experiments and data collection that give rise to these databases are attached.</span></span></p>
NDACC-IRWG FTIR harmonized FTIR XHCFC-22 datasets
<p>It is the harmonized FTIR XHCFC-22 dataset at 16 FTIR sites. If you use this dataset for your study, please contact the corresponding author (minqiang.zhou@mail.iap.iap.ac) and the corresponding NDACC-IWRG site PIs.</p>
Use of Fly Ash for Heavy Metals Removal from Wastewater A Ftir Spectroscopy Study
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Synchrotron source FTIR data (high-pressure, high-temperature) on chrysene, C18H12.
<p>This dataset contains experimental data collected on chrysene, C18H12, in a diamond anvil cell at pressures up to 10 GPa and a temperature range of 30-300 C</p> <p>Experimental data: synchrotron source FTIR data collected at Beamline X01DC in 2009, using the instrumentation documented in "<a href="http://dx.doi.org/10.1021/jp105020f">Stability of Coronene at High Temperature and Pressure</a>," <em>JOURNAL OF PHYSICAL CHEMISTRY B</em>, Vol: 114, Pages: 15753-15758, ISSN: 1520-6106, doi: 10.1021/jp105020f. FTIR-microspectrometry in transmission was performed using synchrotron light at the Swiss Light Source operated in top-up mode. Thus the infrared intensity remains constant with time. The IR focus available at the end of the beamline was coupled to the side port of a Bruker Vertex 70 FTIR spectrometer with an <em>f</em>1 = 34 mm/<em>f</em>2 = 213 mm ellipsoidal mirror. The spectrometer, equipped with a KBr beamsplitter, was coupled to the input of a Bruker Hyperion IR microscope without any additional optics. The microscope was equipped with two ×15 gold-coated Cassegrain objectives. The illuminated region of the sample was determined by an aperture of some 20−45 μm × 20−45 μm. In order to reduce the effect of scattered light and to enhance contrast fidelity, an identical conjugate aperture was placed between the collecting optics and the nitrogen-cooled mercury−cadmium−telluride (MCT) detector. Resolution and number of coadded scans were 4 cm<sup>−1</sup> and 256, respectively. Crystals were observed in parallel by use of white light and a charge-coupled device (CCD) camera.</p> <p>Each zip file contains data files in raw (OPUS) and plain text (.dpt) formats, and a pdf scane of the labbook, which provides a key to relate the file names to the pressure/temeprature of the sample. Raw files are provided for both the background and the sample; plain text files were created from processed files. </p>
ScienceDex guides
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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.