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191 results for “transparency”
Water transparency in the Laurentian Great Lakes
The Laurentian Great Lakes in the mid-east region of North America is one of the largest freshwater ecosystems in the world. This data set contains limnological data, focusing on underwater transparency in this ecosystem and the surrounding region from 1999-2024. Current water transparency data sets highlight the increase in offshore transparency measured by a deepening of average Secchi Disk depth since the invasion of the Dreissenid mussels. However, limited data exists on the Great Lakes to provide insight to the underwater optical environment of the offshore, nearshore, and surrounding water bodies of these lakes. These data illustrate the vertical underwater light environment with data from wavelengths of sunlight including photosynthetically active radiation (400 – 700 nm), UV-A radiation (320 - 400 nm) and UV-B radiation (290 - 320 nm). Understanding the depths to which these specific wavelengths of sunlight reach within a lake, as well as the substances within the lake that may influence the attenuation of sunlight can provide a picture of how habitats within the lake system have been impacted. This data set is a part of a continuous data collaboration among multiple research groups, and will be updated periodically as more data are made available. As such, this data set provides a snapshot of water transparency in the Great Lakes. The data here are contained in four files, including WaterTransparencyData_GreatLakes.csv, SiteInformation_GreatLakes.csv, Methods_GreatLakes.csv, and Variables_GreatLakes. The main data are in WaterTransparencyData_GreatLakes.csv. SiteInformation_GreatLakes.csv, Methods_GreatLakes.csv, and Variables_GreatLakes.csv support the main data file with descriptions of the sampling sites, methods by which samples were processed, and descriptions of variables, respectively.
Transparent exopolymer particle (TEP) and Coomassie stainable particle (CSP) data collected from the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition.
<p><strong>Dataset abstract</strong></p> <p>TEP are operationally defined as gel particles that are retained on 0.4 µm polycarbonate filters and stained with the cationic copper phthalocyanine dye Alcian Blue 8GX at pH 2.5. CSP are gel particles retained on 0.4 µm polycarbonate filters that are stained with a solution of Coomassie Brilliant Blue G (CCB) at pH 7.4. Seawater surface samples (5 m) were collected every 6 hours from the ship’s underway pump. In addition, vertical profiles (6 depths, generally from 5 to 100-150 m) were sampled from 19 CTD casts using a SBE 911 Plus attached to a rosette of 24 12-L PVC Niskin bottles. This dataset presents TEP and CSP from seawater samples collected from the ship’s underway pump and CTDs. Samples were collected around the Southern Ocean on the R/V Akademik Tryoshnikov in the austral summer of 2016/2017, as part of the Antarctic Circumnavigation Expedition (ACE).</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_seawater_csp.csv, data file, comma-separated values</li> <li>ace_seawater_tep.csv, data file, comma-separated values</li> <li>data_file_header_csp.txt, metadata, text</li> <li>data_file_header_tep.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This TEP and CSP dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
2023 EU Transparency Register - Meta-organizations
<p>For my Research Habilitation Dissertation, I extracted all information from the EU transparency Register</p> <p>There were 12,435 registered organizations as of January 2023 (Source: Transparency Register). On this basis, I attempted to distinguish between meta-organizations and non-meta-organizations. One should keep in mind that this database only concerns organizations and individuals that seek to lobby EU institutions. There are much more meta-organizations worldwide, and many are not concerned with lobbying the EU.</p> <p>I downloaded and organized the database. I added a year column and edited the database in order to identify meta-organizations. There are 13 different categories of organizations or individuals that can be registered: 1) “Academic institutions”, 2) “Associations and networks of public authorities”, 3) “Companies & groups”, 4), “Entities, offices or networks established by third countries”, 5) “Law firms”, 6) “Non-governmental organisations, platforms and networks and similar”, 7) “Organisations representing churches and religious communities”, 8) “Other organisations, public or mixed entities”, 9) “Professional consultancies”, 10) “Self-employed individuals”, 11) “Think tanks and research institutions”, 12) “Trade and business associations”, 13) “Trade unions and professional associations”. </p> <p>Sheet 1 shows the different tables I created for my habilitation. </p>
Transparency in agricultural land lease by local government
<p>In this research, the focus was on analysing transparency aspect of government and public administration, i.e. how transparent tenders for the allocation and disposition of state-owned agricultural land are conducted. The main objective of this work was to investigate and critically examine the practices of publishing tenders for the lease of state agricultural land in the local units of six selected counties in the Republic of Croatia.</p>
Mutual extinction and transparency of multiple incident light waves
<p>The basic publication is:<br> A. Lagendijk, A.P. Mosk, and W.L. Vos<br> Europhys. Lett., 130, 34002 (2020)<br> "Mutual extinction and transparency of<br> multiple incident light waves"<br> <br> We have uploaded to the Zenodo database all data enabling everyone to reuse our data, and<br> to reproduce all the figures of our paper</p> <p>The upload contains the file "readme.txt" explaining the content of the upload</p>
Polarized, color-selective and semi-transparent organic photodiode of aligned merocyanine H-aggregates
<p>Data to report <a href="https://doi.org/10.1039/D4TC00678J">https://doi.org/10.1039/D4TC00678J</a>:</p> <p><span><span>Highly anisotropic thin films of H-type coupled dipolar merocyanines </span></span><span><span>with large dichroic ratios of over 50 </span></span><span><span>were </span></span><span><span>deposited by solution shearing. These layers were incorporated into simultaneously color- and polarization-selective organic photodiodes. Using a transparent non-fullerene acceptor, polarization-sensitive planar-heterojunction devices with an average visible transmittance of 93% were obtained.</span></span></p> <p> </p>
Transparent Exopolymer Particles (TEP), Coomassie Stainable Particles (CSP) and accompanying variables in seawater of the NW Mediterranean
<p>Concentrations of Transparent Exopolymer Particles (TEP) , Coomassie Stainable Particles (CSP), nitrate, silicate, phosphate, chlorophyll a (chla), particulate organic carbon (POC) and nitrogen (PON), seawater temperature, salinity, water transparency, solar radiation, flow cytometry-determined abundances of Prochlorococcus, Synechococcus, picoeukaryotes, nanoeukaryotes, prokaryotic heterotrophs (PHA), and microscopy-detrrmined abundances of dinoflagellates, diatoms, coccolithophores and other microalgae in the NW Mediterranean.</p> <p>Sampling sites are the Blanes Bay Microbial Observatory (monthly sampling between 22/06/2015 and 10/10/2017) and the L'Estartit Oceanographic Station (monthly sampling between 25/06/2015 and 11/10/2017) in the coastal NW Mediterranean, plus the MIFASOL cruise (October 2015) onboard the RV Garcia del Cid in the NW Mediterranean.</p>
Dataset: maturity of transparency of open data ecosystems in 22 smart cities
<p>This dataset contains data collected during a study "<a href="https://www.sciencedirect.com/science/article/pii/S2210670722002281?casa_token=8xHhtKug0xEAAAAA:POKIQswXhPdbwqgi5A8q98xitcUju_VS8T7oSP6YujXdABZlc5bNn4vEHzHGoxoW16mT6hA-HZ4#!">Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities</a>" (Sustainable Cities and Society (SCS), vol.82, 103906) conducted by Martin Lnenicka (University of Pardubice), Anastasija Nikiforova (University of Tartu), Mariusz Luterek (University of Warsaw), Otmane Azeroual (German Centre for Higher Education Research and Science Studies), Dandison Ukpabi (University of Jyväskylä), Visvaldis Valtenbergs (University of Latvia), Renata Machova (University of Pardubice).</p> <p>This study inspects smart cities’ data portals and assesses their compliance with transparency requirements for open (government) data by means of the expert assessment of 34 portals representing 22 smart cities, with 36 features.</p> <p>It being made public both to act as supplementary data for the paper and in order for other researchers to use these data in their own work potentially contributing to the improvement of current data ecosystems and build sustainable, transparent, citizen-centered, and socially resilient open data-driven smart cities.</p> <p>***Purpose of the expert assessment***<br> The data in this dataset were collected in the result of the applying the developed benchmarking framework for assessing the compliance of open (government) data portals with the principles of transparency-by-design proposed by Lněnička and Nikiforova (2021)* to 34 portals that can be considered to be part of open data ecosystems in smart cities, thereby carrying out their assessment by experts in 36 features context, which allows to rank them and discuss their maturity levels and (4) based on the results of the assessment, defining the components and unique models that form the open data ecosystem in the smart city context.</p> <p>***Methodology***<br> Sample selection: the capitals of the Member States of the European Union and countries of the European Economic Area were selected to ensure a more coherent political and legal framework. They were mapped/cross-referenced with their rank in 5 smart city rankings: IESE Cities in Motion Index, Top 50 smart city governments (SCG), IMD smart city index (SCI), global cities index (GCI), and sustainable cities index (SCI). A purposive sampling method and systematic search for portals was then carried out to identify relevant websites for each city using two complementary techniques: browsing and searching.<br> To evaluate the transparency maturity of data ecosystems in smart cities, we have used the transparency-by-design framework (<a href="https://www.sciencedirect.com/science/article/pii/S0736585321000447?casa_token=7K8YGcYWbQcAAAAA:_HnV50rvxwQmDYyTjLYCmUkhDM2Qpsu8TPPBgOxajkV6ammJ1BBwgtQEnMMZdVk5ONxrGNY8hOw">Lněnička & Nikiforova, 2021</a>)*.<br> The benchmarking supposes the collection of quantitative data, which makes this task an acceptability task. A six-point Likert scale was applied for evaluating the portals. Each sub-dimension was supplied with its description to ensure the common understanding, a drop-down list to select the level at which the respondent (dis)agree, and a comment to be provided, which has not been mandatory. This formed a protocol to be fulfilled on every portal. Each sub-dimension/feature was assessed using a six-point Likert scale, where strong agreement is assessed with 6 points, while strong disagreement is represented by 1 point.<br> Each website (portal) was evaluated by experts, where a person is considered to be an expert if a person works with open (government) data and data portals daily, i.e., it is the key part of their job, which can be public officials, researchers, and independent organizations. In other words, compliance with the expert profile according to the International Certification of Digital Literacy (ICDL) and its derivation proposed in <a href="https://www.emerald.com/insight/content/doi/10.1108/OIR-05-2020-0204/full/html?casa_token=6Yd7zSiQMg0AAAAA:yT8d_thrh84stDSVbax8eXLm5vP9LkrwZZFMzC_vql9vZNoQP_iYBHCZ0NOndkvusIx9TZAvJLWBp6lqe9bymm-xHaZ93k2mYfoHXKdVq52A0a7MlwGa">Lněnička et al. (2021)</a>* is expected to be met.<br> When all individual protocols were collected, mean values and standard deviations (SD) were calculated, and if statistical contradictions/inconsistencies were found, reassessment took place to ensure individual consistency and interrater reliability among experts’ answers.<br> *<a href="https://www.sciencedirect.com/science/article/pii/S0736585321000447?casa_token=7K8YGcYWbQcAAAAA:_HnV50rvxwQmDYyTjLYCmUkhDM2Qpsu8TPPBgOxajkV6ammJ1BBwgtQEnMMZdVk5ONxrGNY8hOw">Lnenicka, M., & Nikiforova, A. (2021). Transparency-by-design: What is the role of open data portals?. Telematics and Informatics, 61, 101605</a><br> *<a href="https://www.emerald.com/insight/content/doi/10.1108/OIR-05-2020-0204/full/html?casa_token=6Yd7zSiQMg0AAAAA:yT8d_thrh84stDSVbax8eXLm5vP9LkrwZZFMzC_vql9vZNoQP_iYBHCZ0NOndkvusIx9TZAvJLWBp6lqe9bymm-xHaZ93k2mYfoHXKdVq52A0a7MlwGa">Lněnička, M., Machova, R., Volejníková, J., Linhartová, V., Knezackova, R., & Hub, M. (2021). Enhancing transparency through open government data: the case of data portals and their features and capabilities. Online Information Review.</a></p> <p>***Test procedure***<br> (1) perform an assessment of each dimension using sub-dimensions, mapping out the achievement of each indicator<br> (2) all sub-dimensions in one dimension are aggregated, and then the average value is calculated based on the number of sub-dimensions – the resulting average stands for a dimension value - eight values per portal<br> (3) the average value from all dimensions are calculated and then mapped to the maturity level – this value of each portal is also used to rank the portals.</p> <p>***Description of the data in this data set***<br> Sheet#1 "comparison_overall" provides results by portal<br> Sheet#2 "comparison_category" provides results by portal and category<br> Sheet#3 "category_subcategory" provides list of categories and its elements<br> </p> <p>***Format of the file***<br> .xls</p> <p>***Licenses or restrictions***<br> CC-BY</p> <p>For more info, see README.txt</p>
Dataset for "AGU Publications updates authorship policy to foster better equity and transparency in global research collaboration"
<p>Dataset supporting "AGU Publications updates authorship policy to foster better equity and transparency in global research collaboration." </p> <p>This file provides summary data for new submissions for "Global Biogeochemical Cycles" (GBC) and "Journal of Geophysical Research: Biogeosciences" (JGR: Biogeo) from 2012 through 2023 including International Collaboration Status (whether more than one country was represented on the author list), Research4Life Author Status (whether any author was from a country on the Research4Life eligibility list [https://www.research4life.org/access/eligibility/]), and Research4Life Abstract Status (whether the submission abstract referenced a country on the Research4Life eligibility list). </p> <p>Summary data for all AGU journals combined are provided for years 2012 and 2023, including whether more than one country was represented by the author list and whether any author was from a country on the Research4Life eligibility list. </p> <p>Summary data are presented in compliance with AGU's Privacy Policy, https://www.agu.org/Privacy-Policy</p>
Exergame for Continuous and Transparent Monitoring of Handgrip Strength and Endurance
<p>Grip Strength reduction is a marker of the age-related functional decline. An anti-stress ball and an exergame to continuously and transparently monitor handgrip strength and endurance in older persons have been developed within the context of the European Project MOVECARE. The description of the exergame can be found in the paper associated to the dataset here uploaded. </p> <p>The game was tested on ten young healthy subjects and the results of maximal handgrip force provided by the game were compared to the handgrip measured with the Jamar dynamometer. High correlation was found, suggesting that the game can represent a promising and non-intrusive tool to help detecting early signs of frailty in community-dwelling older persons. </p> <p>The data here uploaded consist of an excel file with two sheets. </p> <p>- sheet 1: Values of handgrip measured by the Jamar and the anti-stress ball on 10 subjects. Each subject performed three repetitions of each measurement. </p> <p> - sheet 2: the System Usability Scale scores collected on the 10 subjects. Scores of individual questions, as well as total scores, are reported. </p>
Usability Testing Data for Web Application Prototype: Enhancing Efficiency and Transparency in Ghana's Rental Housing Market
<p><span>The dataset includes both quantitative and qualitative responses from participants who tested the web application prototype designed to enhance decision-making in Ghana's rental housing market. The testing focused on evaluating the user interface, ease of use, satisfaction levels, and the effectiveness of key functionalities.</span></p>
Transparent Magritte Test Sequence
<p> <strong>Transparent-Magritte sequence by LISA ULB</strong></p> <p>The test sequence "Transparent Magritte" is provided by Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Universite Libre de Bruxelles), Belgium.</p> <p> </p> <p><strong> License:</strong></p> <p>CC BY-NC-SA</p> <p> </p> <p><strong> Terms of Use:</strong></p> <p>Anykind of publication or report using this sequence should refer to the following references.</p> <p><br> [1] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, "Transparent Magritte Test Sequence", 2021.</p> <p>@misc{fachada_transparent_2021,<br> title = {Transparent {Magritte} {Test} {Sequence}},<br> author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},<br> month = feb,<br> year = {2021},<br> doi = {10.5281/zenodo.5048275}<br> }</p> <p>[2] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, and Gauthier Lafruit, "Light Field Rendering for non-Lambertian Objects," presented at the Electronic Imaging, 2021.</p> <p>@inproceedings{fachada_light_2021,<br> title = {Light {Field} {Rendering} for non-{Lambertian} {Objects}},<br> booktitle = {Electronic {Imaging}},<br> author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},<br> year = {2021}<br> }</p> <p><strong> Production</strong></p> <p>Laboratory of Image Synthesis and Analysis, LISA department, EPB, Universite Libre de Bruxelles, Belgium.</p> <p> </p> <p> <strong>Content:</strong></p> <p>This dataset contains a test scene created and rendered with Blender [1] and the addon script [2] extended for Blender 2.8. We provide the Bblender file and the rendered scene.</p> <p>The scene contains a transparent refractive torus rendered in a regular camera array of 21x21 cameras.<br> In addition to the 3D model, two folders are available:<br> - `centered_cameras` resolution of 1000x1000, the cameras are centered on the refractive torus.<br> - `parallel_cameras` resolution of 2000x2000, the cameras are parallel, with a principal point at the center of the image.<br> Each of these folders contains:<br> - a `camera.json` file in OMAF coordinates system (Camera position: X: forwards, Y:left, Z: up, Rotation: yaw, pitch, roll) [3],<br> - a `parameters.cfg` generated with [2],<br> - a `texture` folder containing the rendered views in png format,<br> - a `depth` folder containing the associated depth maps in exr format.<br> <br> <strong> References and links:</strong></p> <p>[1] Blender Online Community, "Blender - a 3D modelling and rendering package." Blender Institute, Amsterdam: Blender Foundation, 2020.</p> <p>[2] K. Honauer, O. Johannsen, D. Kondermann, and B. Goldluecke, "A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields" in Asian Conference on Computer Vision, 2016,</p> <p>https://github.com/lightfield-analysis/blender-addon</p> <p>https://github.com/dbonattoj/blender-addon</p> <p>[3] B. Kroon, "Reference View Synthesizer (RVS) manual [N18068]," ISO/IEC JTC1/SC29/WG11, Macau SAR, China, p. 19, Oct. 2018.</p> <p>https://mpeg.chiariglione.org/standards/mpeg-i/omnidirectional-media-format</p>
SC Transparency and Reproducibilty Community Survey
<p>Results of a survey administered to the SC conference community in August 2020 to all those who had participated in SC17, SC18, or SC19 technical programs. The survey participants were self-selected among 9,949 unique individuals. 204 individuals responded to at least one question (outside the consent question). The survey was conducted under Indiana University protocol #2005780098, “Assessing Reproducibility Initiative of IEEE/ACM Supercomputing Conference,” as an online survey protecting the anonymity of respondents. </p>
Artifacts for Towards Achieving Trust Through Transparency and Ethics [RE 21]
<p>Included in this repository are the Open and Axial/Selective Coding Matrices for the Grounded Theory Methodology for "Towards Achieving Trust Through Transparency and Ethics".</p> <p>Also included are the Softgoal Interdependency graphs developed as a result of the Grounded Theory Literature Review.</p> <p>The methodology is described in the paper, and this dataset exists for anybody to review and re-use these artifacts created as a result of the methodology. </p>
Transparency dataset of "Noradrenergic circuit control of non-REM sleep substates"
<p>Raw transparency data file containing the information used the study “Noradrenergic circuit control of non-REM sleep substates” (Osorio-Forero, Cardis, Vantomme, Guillaume-Gentil, Katsioudi, Devenoges, Fernandez, Lüthi).</p> <p>Here you can find the raw data used for the effects of blockage of in-vivo or in-vitro noradrenergic signaling in the thalamus in sleep spindles clustering and cellular mechanisms. The effects on sleep spindles and sigma activity upon optogenetic stimulation of Locus coeruleus (LC) cells bodies, thalamic or somatosensory cortical LC terminals during non-rapid-eye movement sleep as well as the optogenetic inhibition of the LC bodies. Additionally, you can find the Information about the LC fiber density within the thalamus and somatosensory cortex. The effects on heart rate upon optogenetic stimulation of LC cell bodies is also included in the dataset. </p>
Divergent Evolution of Earth and Venus—Transparent Version
<p>The theory of planetary heat pipes now tells us Venus and Earth may follow separate ways even though they shared a similar beginning. In the context of exoplanet studies, this means rocky planets with a hot surface—or with a thick atmosphere that acts like a blanket—may not exhibit plate tectonics. Also read: <a href="https://doi.org/10.1029/2022GL100987">https://doi.org/10.1029/2022GL100987</a></p>
Ultrathin a-Si:H/Oxide Transparent Solar Cells Exhibiting UV-Blue Selective-Like Absorption
<p>Raw Dataset from which the publication of the article "Ultrathin a-Si:H/Oxide Transparent Solar Cells Exhibiting UV-Blue Selective-Like Absorption" (10.1002/solr.202200928) is derived.</p>
Making Social Science Research Transparent [Webinar recording]
<p>High-quality data have the potential to be reused in many ways. Archiving and publishing your data properly is at the core of making your data FAIR and will enable both your future self as well as others to get the most out of your data. Recently, more and more scientific journals are implementing open data policies, leading to researchers' dilemmas about where, when and how to publish the data. Consequently, the way that social science research is conducted and disseminated is gradually changing. A crucial element of that change is research transparency. Introduction to the topic took place in the first part of the event.</p> <p>In the second part, panellists presented in-depth the processes, policies and tools implemented for facilitating transparent research in the social sciences. They discussed the processes that need to be in place for an open research cycle, the role of data archives and repositories in sharing research data and materials, tools for reproducing research findings in practice, collaborations between archives and social science journals, and implementing Transparency and Openness Promotion Guidelines in different social science disciplines.</p> <p>The video is available on<a href="https://www.youtube.com/watch?v=B-phrIMETGk"> the CESSDA Training YouTube channel</a>.</p>
Flow dynamics and pump kinematics in polychaete burrows constructed in a transparent mud analog
We used Particle Tracking Velocimetry (PTV) to measure fluid flow within burrows constructed by the polychaete Alitta succinea in a transparent mud analog. We also measured the kinematics of the undulatory pumping by the polychaete that drives flow through the burrow. The flow velocity data is presented in the spreadsheet worm_burrow_particle_tracking_data.csv and consists of the x and y coordinates (in mm) of each tracked particle, the time at which it was tracked (in seconds) and the velocity of the particle at that time (in mm per second). The ClipID is the reference of the video clip the data is from, and is a unique identifier. The SequenceID is retained between the pump dynamics data and the particle tracking data, because worm kinematics and flow dynamics were recorded simultaneously. Each tracked particle in a given sequence has a unique TrackID. The worm kinematics data consists of the track of the peak of the undulatory wave created as an individual polychaete ventilates its burrow and is presented in the spreadsheet worm_burrow_pump_dynamics_data.csv. The variables included are the x and y coordinates of the wave peak (in mm), the time at which the point was taken (in seconds) and the instantaneous velocity of the wave peak at that time (in mm per second). The ClipID is the reference of the video clip the data is from, and is a unique identifier. The SequenceID is retained between the pump dynamics data and the particle tracking data, because worm kinematics and flow dynamics were recorded simultaneously. Each tracked wave in a given sequence has a unique TrackID. The metadata, in the spreadsheet worm_burrow_metadata.csv, gives the polychaete Individual ID (a unique identifier for each specimen used) for each Clip ID and Sequence ID from the data spreadsheets, the location in the burrow at which the video was taken (between the head of the worm and the burrow entrance is "ahead", between the tail of the worm and the burrow exit is "behind", and a video of
Data of the publication: Nuclear spin coherence properties of 151Eu3+ and 153Eu3+ in a Y2O3 transparent ceramic by J. Karlsson et al.
<p>Data corresponding to the figures of the publication "Nuclear spin coherence properties of 151Eu3+ and 153Eu3+ in a Y2O3 transparent ceramic" by J. Karlsson et al., (https://doi.org/10.1088/1361-648X/aa529a). A text file describes data in each compressed folder, please refer to the caption in the publication for more details. </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.