Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,318
datasets available to search
ShareScore release 0.9.0
Dataset results
2,318 results for “Synthesis”
Figure 1 in Towards a global synthesis of Collembola knowledge - challenges and potential solutions
Figure 1. Trends in Collembola taxonomy. New species description accumulated up till the 1960's but stays linear afterwards (A); Most of species were recorded from Asia, Europe and North America (B); While the rate of species description stays unchanged for the last 70 years, the number of described taxa per taxonomist (first authorship) declines (C); The number of species described is driven by a low number of productive taxonomists, with the first 23 highly productive taxonomists (5.6 % of all first authors of species descriptions) being responsible for ca. 50 % of total known Collembola species (D). All estimations for the panels A, B and C were calculated in 5-year intervals. For the panel D only persons listed in the authorship of the species were included in the analysis. The figure is produced based on the data from September, 2020 available from http://collembola.org (Bellinger et al. 1996-2020).
Figure 1 in sOilFauna - a global synthesis effort on the drivers of soil macrofauna communities and functioning
Figure 1. Location of the transects in the present version of the MACROFAUNA database (A) Map of the data (B) Location of the data in relation to the biomes.
Glacial-interglacial Circumpolar Deep Water temperatures during the last 800,000 years: estimates from a synthesis of bottom water temperature reconstructions
<p>Data used for our paper "Glacial-interglacial Circumpolar Deep Water temperatures during the last 800,000 years: estimates from a synthesis of bottom water temperature reconstructions" published in Climate of the Past (https://doi.org/10.5194/cp-20-2055-2024).</p> <p>Please see the paper for full details, or email us for further info (dcha@norceresearch.no).</p>
Data for "Synthesis of zirconium(IV) and hafnium(IV) isopropoxide, sec-butoxide and tert-butoxide"
<p>Data of the figures in the publication "<strong>Synthesis of zirconium(IV) and hafnium(IV) isopropoxide, sec-butoxide and tert-butoxide</strong>".</p> <p>The <em>.pxp</em> documents contain the experimental data of the figures in the manuscript and they can be opened/edited with the software IGOR Pro 8.0 or higher.</p> <p>Table of contents:</p> <p><strong>Figure 1.</strong> The synthesis of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) isopropoxide isopropanol complex. (A) General reaction scheme of both the method making use of ammonia stock solution in isopropanol, and gaseous ammonia, (B) <sup>1</sup>H NMR, and (C) <sup>13</sup>C NMR of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) isopropoxide isopropanol complex in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure 2.</strong> Exchange reaction of zirconium isopropoxide isopropanol complex with the more Lewis base TOPO. (A) General reaction scheme, (B) <sup>1</sup>H NMR of the as-synthesized zirconium(<span>iv</span>) isopropoxide isopropanol complex where the ratio between the three resonances (6.5, 4.5 and 1.5 ppm) equals to 1 : 5 : 30 (= 4 isopropoxides and 1 isopropanol), (C) to which an excess of TOPO is added where the ratio between the three resonances (4.5, 4.0 and 3.0 ppm) equals to 4 : 1 : 1 (confirms the correct stoichiometry of 4 isopropoxides and 1 isopropanol), and (D) <sup>31</sup>P NMR of the mixture in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure 3.</strong> The synthesis of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) diethylamido complex. (A) General reaction scheme, (B) <sup>1</sup>H NMR, and (C) <sup>13</sup>C NMR of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) diethylamido complex in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure 4.</strong> The synthesis of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) <em>tert</em>-butoxide complex. (A) General reaction scheme, (B) <sup>1</sup>H NMR, and (C) <sup>13</sup>C NMR of zirconium(<span>iv</span>) and hafnium(<span>iv</span>) <em>tert</em>-butoxide complex in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure 5.</strong> The synthesis of zirconium(<span>iv</span>) <em>sec</em>-butoxide. (A) General reaction scheme, (B) <sup>1</sup>H NMR, and (C) <sup>13</sup>C NMR of zirconium(<span>iv</span>) <em>sec</em>-butoxide in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure 6.</strong> Interaction of zirconium <em>sec</em>-butoxide with TOPO. (A) <sup>1</sup>H NMR of the as-synthesized zirconium(<span>iv</span>) <em>sec</em>-butoxide to which TOPO is added, and (B) <sup>31</sup>P NMR of the mixture in C<sub>6</sub>D<sub>6</sub>.</p> <p><strong>Figure S1.</strong> Schematic diagram of the reversible glass frit and pictures of the air- and moisture-free Schlenk filtration.</p> <p><strong>Figure S2.</strong> Powder XRD of (left) the synthesized Zr(OiPr)4.iPrOH and the calculated powder diffraction pattern from the CSD reference JETWOU, and (right) the synthesized Hf(OiPr)4.iPrOH and the calculated powder diffraction pattern from the CSD reference NAYDAS.</p>
Dataset of "Affordable metod for synthesis of composite nanoobjects from recycled materials by hot plasma arc from basic plasma cutter "
<p>Metal remnants from battery waste can be utilized in some advanced composite materials together with other materials like cerium dioxide nanoparticles which repeatedly show interesting application potential in the field of decomposition of environmental pollutants. It is important to avoid uncontrolled leakage of the nanoparticles into the environment. Therefore immobilization in composite is important. In this contribution, ceria nanoparticles were aggregated and immobilized with the addition of nanoparticles, metal sheets, and the usage of a plasma beam. The obtained material was characterized in detail using optical microscopy, XRD, SEM, and EDS. The composite was also compared to the non-treated ceria nanoparticles. The absorption of pollutant samples was performed in aqueous solutions of Eriochrome Black T. The results show promising potential considering the morphology change and aggregate formation, together with fast reaction times. </p>
Datasets used in a Transformer network for image inversion of multi-dimensional nonuniform aperture synthesis radiometers
<p><span>该数据集于 2023 年 11 月在中南大学生成,并通过 matlab 仿真软件进行仿真和收集。主要用于图像重建网络的训练和测试。</span>该数据集由原始场景亮度数据、能见度数据和一维、二维和三维非均匀天线阵列图像重建的能见度函数对应的频域采样点位置数据,以及使用其他一些常规方法进行图像重建获得的亮度数据组成。此外,为了验证所提方法的有效性,在工作频率为 33.5 Ghz 的原型 8 元一维非均匀天线阵列上进行了室内实验,并生成了测量数据集。</p> <p>具体来说,名为 Tb_in、V2_noise、T3_AAF 和 T2_idft 的四个仿真数据集存储在名为 1d 的 zip 包中。</p> <p>Tb_IN_1d存储了一维非均匀天线对应的原始场景亮温数据,该数据选自西北工业大学制作的遥感影像场景分类公共数据集。</p> <p>V2_noise存储了包含各种误差的能见度函数值,主要是通过将原始场景亮温图像输入到运行在接收频率为 33.5 GHz 的非均匀积分孔径辐射计模拟程序中得到的。</p> <p>T2_idft 和 T3_AAF 分别是使用逆离散傅里叶变换和阵列因子形成方法进行图像重建获得的明亮温度数据。这两组数据都可用于后续的比较实验。</p> <p>名为 Tb_IN_2d、Tb_out_2d、VS_2d 和 VS_P_2d 的四个数据集存储在名为 2d 的 zip 包中。</p> <p>Tb_IN_2d内部存储的是二维非均匀天线对应的原始场景亮温数据,该数据选自西北工业大学制作的遥感影像场景分类公共数据集。</p> <p>VS_2d为二维非均匀天线阵列对应的能见度函数值,主要是将原始场景亮温图像输入到接收频率为 33.5 GHz 的非均匀集成孔径辐射计模拟程序中得到的。</p> <p>VS_P_2d存储了二维非均匀天线阵列的能见度函数对应的频域采样点位置,该值主要通过计算能见度函数值得到。</p> <p>Tb_out_2d文件存储了使用传统方法进行图像重建得到的亮温值,该数据也用于后续与所提方法获得的数据的比较实验。</p> <p>名为 Tb_IN_3d、Tb_out_3d、VS_3d 和 VS_P_3d 的四个数据集存储在名为 3d 的 zip 包中。</p> <p>Tb_IN_3d内部存储的是 3D 非均匀天线对应的原始场景亮温数据,该数据选自西北工业大学制作的遥感图像场景分类公共数据集。</p> <p>VS_3d是三维非均匀天线阵列对应的能见度函数值,是将原始场景亮温图像输入到接收频率为 33.5 GHz 的非均匀积分孔径辐射计仿真程序中得到的。</p> <p>VS_P_3d存储了三维非均匀天线阵列的能见度函数对应的频域采样点位置,该位置是通过计算能见度函数值得到的。</p> <p>Tb_out_3d文件存储了使用常规方法进行图像重建得到的亮温值,该数据也用于后续与所提方法获得的数据的比较实验。</p> <p>名为 Array2_R、Array3_R、V2_noise 和 Tb_out 的四个数据集存储在名为 8mm8 channel 的 zip 包中。</p> <p>存储在 Array2_R 和 Array3_R 中的是系统在不同位置测量的目标点源的相关矩阵,矩阵中元素的值反映了测试点对目标点源的检测能力。根据此相关矩阵,可以计算可见性值。</p> <p>存储在 V2_noise 内部的是包含各种误差的测量可见性函数的样本。对这些数据进行实验主要是为了验证所提方法的有效性。</p> <p>存储在 Tb_out 中的是使用测试数据集获得的亮温结果数据,用于测试训练的网络。</p>
In situ synthesis within micron-sized soft chemical reactors created via programmable aerosol chemistry
<p>Dataset of microscope images to accompany our manuscript. Images are arranged in folder based on experiment number and each folder contains a file describing the images individually.</p>
Dataset to accompany publication "Photodeposition-Based Synthesis of TiO2@IrOx Core-Shell Catalyst for Proton-Exchange Membrane Water Electrolysis with Low Iridium Loading"
<h2>Dataset description</h2> <p>This dataset provides the raw data for the manuscript "Photodeposition-Based Synthesis of TiO<sub>2</sub>@IrO<sub>x</sub> Core-Shell Catalyst for Proton-Exchange Membrane Water Electrolysis with Low Iridium Loading"<strong> </strong>published in <em>Advanced Science </em>on 14 June 2024 (DOI: <a href="https://doi.org/10.1002/advs.202402991">https://doi.org/10.1002/advs.202402991</a>).</p> <p>The data consists of:</p> <ol> <li>XRD pattern of TiO<sub>2</sub>@IrO<sub>x</sub> (40 wt% Ir) as shown in Fig. 3e.</li> <li>XPS spectra of 3 samples: <strong>2.1</strong> TiO<sub>2</sub>@IrO<sub>x</sub> (40 wt% Ir) as shown in Fig. 3f.; <strong>2.2 </strong>TiO<sub>2</sub>@IrO<sub>x</sub> (only shell) as shown in Fig. 3g; <strong>2.3</strong> TiO<sub>2</sub>@IrO<sub>x</sub> (photodeposited seeds) as shown in Fig. S8.</li> <li>Datasets for NanoCT of the TiO<sub>2</sub>@IrO<sub>x</sub> catalyst layer as shown in Fig. 5 a-c : <strong>3.1</strong> HRES Tilt series; <strong>3.2 </strong>reconstructed slices.</li> </ol> <h2>Abstract</h2> <p>The widespread application of green hydrogen production technologies requires cost reduction of crucial elements. To achieve this, a viable pathway to reduce the iridium loading in proton exchange membrane water electrolysis (PEMWE) is explored. Herein, we present a scalable synthesis method based on a photodeposition process for a TiO<sub>2</sub>@IrO<sub>x</sub> core-shell catalyst with a reduced iridium content as low as 40 wt%. Using this synthesis route, we obtain titania support particles homogeneously coated with a thin iridium oxide shell of only 2.1 ± 0.4 nm. The catalyst exhibits not only high ex situ activity, but also decent stability compared to commercially available catalysts. Furthermore, the unique core-shell structure provides a threefold increased electrical powder conductivity compared to structures without the shell. In addition, the low iridium content facilitates the fabrication of sufficiently thick catalyst layers at decreased iridium loadings mitigating the impact of crack formation in the catalyst layer during PEMWE operation. We demonstrate that the novel TiO<sub>2</sub>@IrO<sub>x</sub> core-shell catalyst clearly outperforms the commercial reference in single-cell tests with an iridium loading below 0.3 mg<sub>Ir</sub> cm<sup>‑2 </sup>exhibiting a superior iridium-specific power density of 17.9 kW g<sub>Ir</sub><sup>-1 </sup>compared to 10.4 kW g<sub>Ir</sub><sup>-1 </sup>for the commercial reference.</p>
Linked collectors and determiners for: Palaearctic species of Charipinae (Hymenoptera, Figitidae): two new species, synthesis and identification key.
Natural history specimen data linked to collectors and determiners held within, "Palaearctic species of Charipinae (Hymenoptera, Figitidae): two new species, synthesis and identification key". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/888c4dda-f962-4373-bde4-910cfedf54eb">https://bionomia.net/dataset/888c4dda-f962-4373-bde4-910cfedf54eb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/888c4dda-f962-4373-bde4-910cfedf54eb">https://gbif.org/dataset/888c4dda-f962-4373-bde4-910cfedf54eb</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging.
Natural history specimen data linked to collectors and determiners held within, "Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7226548c-af21-4648-85ea-733acdfda22e">https://bionomia.net/dataset/7226548c-af21-4648-85ea-733acdfda22e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7226548c-af21-4648-85ea-733acdfda22e">https://gbif.org/dataset/7226548c-af21-4648-85ea-733acdfda22e</a>. Formatted as a Frictionless Data package.
Total Synthesis of Tagitinins, Goyazensolide and Related Furanoheliangolides and their Covalent Interaction with Importin-5 (IPO5)
Open the record for dataset details and reuse information.
Research Data for the Journal Article: Efficient DMF-assisted synthesis of formamides from amines using CO2 catalyzed by heterogeneous metal-free imidazolium-hypercrosslinked polymers
Open the record for dataset details and reuse information.
Synthesis and biological evaluation of a radiolabeled PET probe for visualization of in vivo -fucosidase expression - esi
<p>Supplementary data for paper titled: <strong>Synthesis and biological evaluation of a radiolabeled PET probe for visualization of <em>in vivo</em> </strong><strong>a</strong><strong>-fucosidase expression</strong></p>
Cdt1 inhibits CMG helicase in early S phase to separate origin licensing from DNA synthesis
A fundamental concept in eukaryotic DNA replication is the temporal separation of G1 origin licensing from S phase origin firing. Re-replication and genome instability ensue if licensing occurs after DNA synthesis has started. In humans and other vertebrates, the E3 ubiquitin ligase CRL4Cdt2 starts to degrade the licensing factor Cdt1 after origins fire, raising the question of how cells prevent re-replication in early S phase. Here, using quantitative microscopy, we show that Cdt1 inhibits DNA synthesis during an overlap period when cells fire origins while Cdt1 is still present. Cdt1 inhibits DNA synthesis by suppressing CMG helicase progression at replication forks through the MCM-binding domain of Cdt1, and DNA synthesis commences once Cdt1 is degraded. Thus, instead of separating licensing from firing to prevent re-replication in early S phase, cells separate licensing from DNA synthesis through Cdt1-mediated inhibition of CMG helicase after firing.
PSB2: The Second Program Synthesis Benchmark Suite
<p><strong>PSB2: The Second Program Synthesis Benchmark Suite Datasets</strong></p> <p>Version 1.0.1 (see version history at bottom)</p> <p>This repository contains datasets for the 25 problems described in the paper <em>PSB2: The Second Program Synthesis Benchmark Suite</em>. These problems come from a variety of sources, and require a range of programming constructs and datatypes to solve. These datasets are designed to be usable for any method of performing general program synthesis, including and not limited to inductive program synthesis and evolutionary methods such as genetic programming.</p> <p>For more information, see the associated website: <a href="https://cs.hamilton.edu/~thelmuth/PSB2/PSB2.html">https://cs.hamilton.edu/~thelmuth/PSB2/PSB2.html</a></p> <p><strong>Use</strong></p> <p>Each problem in the benchmark suite is located in a separate directory in the `datasets` directory.</p> <p>For each problem, we provide a set of `edge` cases and a set of `random` cases. The `edge` cases are hand-chosen cases representing the limits of the problem. The `random` cases are all generated based on problem-specific distributions. For each problem, we included exactly 1 million `random` cases.</p> <p>A typical use of these datasets for a set of runs of program synthesis would be:</p> <ul> <li>For each run, use every `edge` case in the training set</li> <li>For each run, use a different, randomly-sampled set of `random` cases in the training set.</li> <li>Use a larger set of `random` cases as an unseen test set.</li> </ul> <p><strong>Sampling Libraries</strong></p> <p>We provide the following libraries to make the downloading and sampling of these datasets easier. Using these libraries, you do not need to download the entire dataset from Zenodo; the individual problem datasets are downloaded and stored once when first sampling them.</p> <ul> <li>Python: <a href="https://github.com/thelmuth/psb2-python">https://github.com/thelmuth/psb2-python</a></li> <li>Clojure: <a href="https://github.com/thelmuth/psb2-clojure">https://github.com/thelmuth/psb2-clojure</a></li> </ul> <p><strong>Dataset format</strong></p> <p>Each edge and random dataset is provided in three formats: CSV, JSON, and EDN, with all three formats containing identical data.</p> <p>The CSV files are formatted as follows:</p> <ul> <li>The first row of the file is the column names.</li> <li>Each following row corresponds to one set of program inputs and expected outputs.</li> <li>Input columns are labeled `input1`, `input2`, etc., and output columns are labeled `output1`, `output2`, etc.</li> <li>In CSVs, string inputs and outputs are double quoted when necessary, but not if not necessary. Newlines within strings are escaped.</li> <li>Columns in CSV files are comma-separated.</li> </ul> <p>The JSON and EDN files are formatted using the <a href="https://jsonlines.org/">JSON Lines</a> standard (adapted for EDN).<br> Each case is put on its own line of the data file. The files should be read line-by-line and each parsed into an object/map using a JSON/EDN parser.</p> <p><strong>Citation</strong></p> <p>If you use these datasets in a publication, please cite the paper <em>PSB2: The Second Program Synthesis Benchmark Suite</em> and include a link to this repository.</p> <p>BibTeX entry for paper:</p> <pre><code>@InProceedings{Helmuth:2021:GECCO, author = "Thomas Helmuth and Peter Kelly", title = "{PSB2}: The Second Program Synthesis Benchmark Suite", booktitle = "2021 Genetic and Evolutionary Computation Conference", series = {GECCO '21}, year = "2021", isbn13 = {978-1-4503-8350-9}, address = {Lille, France}, size = {10 pages}, doi = {10.1145/3449639.3459285}, publisher = {ACM}, publisher_address = {New York, NY, USA}, month = {10-14} # jul, doi-url = {https://doi.org/10.1145/3449639.3459285}, URL = {https://dl.acm.org/doi/10.1145/3449639.3459285}, }</code></pre> <p><strong>Version History</strong></p> <p>1.0.0 - 2021/4/10 - Initial publication of PSB2 datasets on Zenodo.</p> <p>1.0.1 - 2021/7/9 - Changes to CSVs to quote all strings that could be read as integers. No changes in actual data, just formatting.</p> <p> </p>
Disk population synthesis data for the article: "Large gaps and high accretion rates in photoevaporative transition disks with a dead zone"
<p>We make available here the results of our gas evolution simulations for the article "Large gaps and high accretion rates in photoevaporative transition disks with a dead zone".</p> <p>We include the result of our population synthesis study, consisting in 10 tables corresponding to 9 models including both dead zone and photoevaporation, and 1 control model including photoevaporation only. The results can be plotted using the "Plotting-PopulationSynthesisModels.ipynb" jupyter notebook.</p> <p>The tables including a dead zone are named as: Macc_Rhole_Pop_AD(X)_RD(Y).txt, where (X)*1.e-4 corresponds to the turbulence in the dead zone, and (Y)*AU corresponds to the dead zone radial extent.</p> <p>The tables include the following fields: Simulation ID, Time [Myr] at which the snapshot was taken, Gap size [AU] measured at the outer edge, Accretion rate log[Msun/yr], and Gas disk mass. We also include a table called "LxRc_Distribution.txt", that indicates the X-ray luminosity log[erg/s] and initial disk characteristic radius [AU] used for the corresponding Simulation ID.</p> <p> </p> <p>We also include the gas surface density evolution of a Control simulation, with photoevaporation only (with Lx = 1.e30 erg/s), and a Dead Zone + Photoevaporation simulation (with dead zone turbulence 1.e-4, and dead zone radial extend 10 AU). These can be plotted using the "Plotting-SingleGasEvolution.ipynb" jupyter notebook.</p>
Dataset from: Binary population synthesis with probabilistic remnant mass and kick prescriptions
<p>This contains the data behind the paper "<a href="https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.1380M">Binary population synthesis with probabilistic remnant mass and kick prescriptions</a>"<br> <br> See<a href="https://github.com/TeamCOMPAS/COMPAS"> https://github.com/TeamCOMPAS/COMPAS</a> for code information and instructions on parsing the data.</p>
FIG. 4. — A-C in Albian flora from Archingeay-Les Nouillers (Charente- Maritime): comparison and synthesis of Cretaceous meso- and macro-remains from the Aquitaine Basin (southwestern France)
FIG. 4. — A-C, Eucalyptolaurus depreii Coiffard, Gomez, Thiébaut & J.Kvaček, 2009, falcate, narrow lanceolate leaf (A and B) showing pinnate primary venation and brochidodromous secondary venation (C), Géosciences Rennes, IGR 2770 and IGR 2771; D, Plant indet.1, fragment of leaf or pinnule showing numerous thin parallel veins, Géosciences Rennes, IGR 2773. Scale bars: 1 cm.
FIG. 3. — A in Albian flora from Archingeay-Les Nouillers (Charente- Maritime): comparison and synthesis of Cretaceous meso- and macro-remains from the Aquitaine Basin (southwestern France)
FIG. 3. — A, Geinitzia Endl., 1847, leafy axis showing pointed and spirally arranged leaves; Géosciences Rennes, IGR 2769b; B, detail of A; C, Frenelopsis Schenk, 1869, leafy axis showing three small tips (arrows) on the apex, Géosciences Rennes, IGR 2769a; D, E, Glenrosa carentonensis Moreau, Néraudeau, Tafforeau & Dépré, 2015, leafy axes showing short and spirally arranged leaves, Géosciences Rennes, IGR 2769c. Scale bars: 1 cm.
FIG. 2. — A, B in Albian flora from Archingeay-Les Nouillers (Charente- Maritime): comparison and synthesis of Cretaceous meso- and macro-remains from the Aquitaine Basin (southwestern France)
FIG. 2. — A, B, general view of the Font-de-Benon quarry section (Archingeay 1), showing the different units; the plant-bearing beds are located in the lignite at the bottom of the quarry; C, synthetic stratigraphical section of the Albian-Cenomanian deposits showing plant beds at the bottom of the column.
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.