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The official dataset of the paper "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient"
<p>This is the official repository of the paper "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient" (<a href="https://doi.org/10.3390/polym16192779">https://doi.org/10.3390/polym16192779</a>).</p> <p>DISCLAIMER</p> <p>The repository contains experimental data and is published for the sole purpose of giving additional background details on the respective publication, "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient" (<a href="https://doi.org/10.3390/polym16192779">https://doi.org/10.3390/polym16192779</a>).<strong> </strong>See the README.txt file for more details.</p>
Optimization of nuclei isolation for high-molecular weight DNA extraction of wild plants
<p><strong>Optimization of nuclei isolation for high-molecular weight DNA extraction from wild plants</strong></p> <p><strong>Authors</strong></p> <p>Irene Martínez-García<sup>1</sup>; Martina Degli Alberti<sup>2</sup>; Aureliano, Bombarely<sup>2</sup>; Mario Xavier Ruiz-González<sup>1</sup>; Santiago Vilanova<sup>1</sup>; Silvia Manrique<sup>1</sup></p> <p> </p> <p><strong>Affiliations</strong></p> <p>1 Instituto Universitario para la Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universidad Politécnica de Valencia (UPV), Camino de Vera s/n 46022, Valencia, Spain) 2 Instituto de Biología Molecular y Celular de Plantas (IBMCP) Primo-Yufera, Consejo Superior de Investigaciones Científicas (CSIC)- Universidad Politécnica de Valencia (UPV), Camino de Vera s/n 46022, Valencia, Spain)</p> <p> </p> <p><strong>Abstract</strong></p> <p>Obtaining high-quality, high-molecular-weight (HMW) DNA is mandatory for constructing reference genomes, yet it remains a significant challenge, particularly for non-model plant species. Many plants contain polysaccharides and secondary metabolites such as polyphenols and tannins, which hinder DNA extraction. Exposure to multiple environmental stresses along their lives exacerbate this issue in wild plants collected from nature, as they may synthesize additional compounds that impair DNA extraction.</p> <p>This study investigates the efficacy of various DNA extraction protocols on four recalcitrant plant species—<em>Pistacia lentiscus</em>, <em>Phyllirea angustifolia</em>, <em>Sarcocornia fruticosa</em>, and <em>Limbarda crithmoides</em>—each possessing unique traits complicating DNA extraction (e.g., succulence, lignification, coloration). Samples were collected from El Saler (Valencia), and multiple protocols for nuclei isolation and DNA extraction were tested. The results were systematically evaluated to compile a comprehensive best practices guide, aiding researchers in selecting optimal methods tailored to their species of interest. This guide serves as a valuable resource for future endeavours in genome research, facilitating advancements in understanding and conservation efforts for diverse plant species.</p> <p>Funding: </p> <p>This work was supported by Erasmus+ Program (to MD), Programa María Zambrano 2021 (to SM and MXRG, UPV Ministerio de Universidades, Plan de Recuperación, Transformación y Resiliencia - Financiado por la Unión Europea – NextGenerationEU) and Catalan Initiative For the Earth Biogenome Project (Call1A-2023 to SM and call 2-2023 to AB and SM) and Primeros Proyectos UPV (PAID-06-22 to MXRG).</p>
Linked collectors and determiners for: NEON Biorepository Mammal Collection (Pathhogen Extracts [Blood]).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Mammal Collection (Pathhogen Extracts [Blood])". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1490fc23-bd7c-4898-87aa-1d4f1fa2d2c3">https://bionomia.net/dataset/1490fc23-bd7c-4898-87aa-1d4f1fa2d2c3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1490fc23-bd7c-4898-87aa-1d4f1fa2d2c3">https://gbif.org/dataset/1490fc23-bd7c-4898-87aa-1d4f1fa2d2c3</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Tick Collection (DNA Extracts [Pathogen Extracts]).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Tick Collection (DNA Extracts [Pathogen Extracts])". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/922feca7-a681-4f61-89a7-9ac8fe968d82">https://bionomia.net/dataset/922feca7-a681-4f61-89a7-9ac8fe968d82</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/922feca7-a681-4f61-89a7-9ac8fe968d82">https://gbif.org/dataset/922feca7-a681-4f61-89a7-9ac8fe968d82</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Mammal Collection (Pathogen Extracts [Ear Tissue]).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Mammal Collection (Pathogen Extracts [Ear Tissue])". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/aac148ed-b2ab-4bec-8a1b-920f393ab865">https://bionomia.net/dataset/aac148ed-b2ab-4bec-8a1b-920f393ab865</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/aac148ed-b2ab-4bec-8a1b-920f393ab865">https://gbif.org/dataset/aac148ed-b2ab-4bec-8a1b-920f393ab865</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Mosquito Collection (DNA Extracts [Pathogen Extracts]).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Mosquito Collection (DNA Extracts [Pathogen Extracts])". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/53c520c9-f945-45df-8d0f-4a590b462c98">https://bionomia.net/dataset/53c520c9-f945-45df-8d0f-4a590b462c98</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/53c520c9-f945-45df-8d0f-4a590b462c98">https://gbif.org/dataset/53c520c9-f945-45df-8d0f-4a590b462c98</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Mosquito Collection (DNA Extracts).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Mosquito Collection (DNA Extracts)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e8185de6-f375-4e6c-8bd0-788656b79609">https://bionomia.net/dataset/e8185de6-f375-4e6c-8bd0-788656b79609</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e8185de6-f375-4e6c-8bd0-788656b79609">https://gbif.org/dataset/e8185de6-f375-4e6c-8bd0-788656b79609</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Benthic Macroinvertebrate Collection (DNA Extracts).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Benthic Macroinvertebrate Collection (DNA Extracts)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/39af39be-ccd5-4a36-800a-c6ca4a4bb3b5">https://bionomia.net/dataset/39af39be-ccd5-4a36-800a-c6ca4a4bb3b5</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/39af39be-ccd5-4a36-800a-c6ca4a4bb3b5">https://gbif.org/dataset/39af39be-ccd5-4a36-800a-c6ca4a4bb3b5</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Fish Collection (DNA Extracts).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Fish Collection (DNA Extracts)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/97255e25-4983-4e2b-bf18-2127d29e12a9">https://bionomia.net/dataset/97255e25-4983-4e2b-bf18-2127d29e12a9</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/97255e25-4983-4e2b-bf18-2127d29e12a9">https://gbif.org/dataset/97255e25-4983-4e2b-bf18-2127d29e12a9</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Mammal Collection (DNA Extracts).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Mammal Collection (DNA Extracts)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/66da3373-5cca-4d00-a477-af751b5ed052">https://bionomia.net/dataset/66da3373-5cca-4d00-a477-af751b5ed052</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/66da3373-5cca-4d00-a477-af751b5ed052">https://gbif.org/dataset/66da3373-5cca-4d00-a477-af751b5ed052</a>. Formatted as a Frictionless Data package.
Fate of organic solvent-soluble extractives and arabinogalactan during brown rot degradation of Siberian larch heartwood
<p>This dataset contains measurement data from the following publication: Belt, T.; Harju, A.; Venäläinen, M.; Kilpeläinen, P. (2024) Fate of organic solvent-soluble extractives and arabinogalactan during brown rot degradation of Siberian larch heartwood. European Journal of Wood and Wood Products. DOI: 10.1007/s00107-024-02146-3. The data consist of mass loss and extractive content data for samples derived from two different decay tests. The decay tests and measurement procedures are described in brief below; further details can be found in the publication.</p> <p>Decay test 1 was a stacked-sample test. Sample blocks were prepared from fresh Siberian larch heartwood and Scots pine sapwood. The decay test was conducted in test tubes over nutrient agar inoculated with <em>Coniophora puteana</em> or <em>Rhodonia placenta</em>. Each tube (N =5) received 7 heartwood or sapwood blocks stacked on top of each other (sample positions 1-7 from top to bottom). After decay, the mass losses of all larch heartwood and pine sapwood samples were measured. The decayed larch heartwood samples were individually ground to powder and extracted with methanol to obtain organic solvent-soluble extractives and with cold water to obtain arabinogalactan.</p> <p>Decay test 2 was a time-series test. Increment cores were obtained from 5 Siberian larch trees, with 8 cores obtained from each tree. Core pieces were cut from outer heartwood and split lengthwise to produce two halves: one half for the decay test and the other to act as an undecayed extractive content control. The decay test was conducted on petri dishes containing nutrient agar inoculated with <em>C. puteana</em> or <em>R. placenta</em>. One core half from each tree exposed to <em>C. puteana</em> and one exposed to <em>R. placenta</em> were removed from the decay test after 10, 20, 27 and 36 days of incubation. After decay, the mass losses of all decay test core halves were measured. The decay test and control core halves were individually ground to powder and extracted with methanol to obtain organic solvent-soluble extractives and with cold water to obtain arabinogalactan.</p> <p>Organic solvent-soluble extractives in the methanol extracts were analysed by GC-MS after trimethyl silylation of the extracts. A total of 13 extractive compounds were identified and quantified in the extracts: 5 fatty acids (palmitic, linolenic, linoleic, oleic, and stearic acid), 6 resin acids (isopimaric, pimaric, palustric, dehydroabietic, abietic, and neoabietic acid), and 2 flavonoids (dihydrokaempferol and taxifolin). Arabinogalactan in the cold water extract was analysed by GC-FID after acid methanolysis. Arabinogalactan was determined as the sum of arabinose and galactose obtained by methanolysis.</p> <p>The “Decay test 1.csv”-file gives the sample identifiers (ID, sample type, test fungus, tube number, sample position), and mass losses of the larch heartwood and pine sapwood samples, and the extractive contents of the larch heartwood samples. Extractive content data are given for all fatty acids, resin acids, and flavonoids quantified in the methanol extracts, and for arabinose and galactose quantified in the cold water extracts. Extractive contents are given on a decayed wood basis (mg/g decayed wood).</p> <p>The “Decay test 2.csv”-file gives the sample identifiers (ID, sample type, test fungus, tree number, core number, decay test time), mass losses, and extractive contents of the decayed and control larch heartwood core halves. Extractive content data are given for all fatty acids, resin acids, and flavonoids quantified in the methanol extracts, and for arabinose and galactose quantified in the cold water extracts. Extractive contents are given on a decayed wood basis (mg/g decayed wood).</p>
Extract from BluePrint sound installation "In at Midnight and Away by Morning: The Uninvited Guest"
<p>This audio piece is a 3 minute extract of the sound installation "In at Midnight and Away by Morning: The Uninvited Guest" (17 minutes in total) co-created by artist Sara Walmsley and the participants of the BluePrint project. This poetic reflection, which includes sonification of historic and predicted rainfall data*, draws on the lived experience of two communities who, in having to deal with the realities of flooding, are already learning to live with the impacts of climate change. </p> <p> Developed over 8 months (March to October 2024) of collaborative creative workshops and individual ethnographic interviews, this piece weaves together the voices and sounds that tell the stories of two devastating flood events that affected the people and places of Eglinton and Newtownstewart in 2017 and 2022. </p> <p>Within this extract of the sound installation you will hear the melodic, polyphonic harmonies of St. Eugene’s Church choir as they give music to the words of members of their community whose homes were destroyed and lives endangered by flood water. A play, performed by the Visible, Invisible and Self, takes us on a narrative journey through a community which saw their joyful totems of leisure and togetherness tumbled and sodden by a beloved natural element turned wild. A poem, written and performed by those who witnessed the rolling in of a sudden and unexpected storm, represents the voices of the key actors in a devastating event - the flooding victims, the community responders, and the river itself. Finally, we hear throughout the voices of those striving to adapt to our changing climate, those who are responding to the urgency by finding solace, hope, strength and courage in the unending and unsurprising resilience and creativity of our communities.</p> <p>Listeners are invited to remember that as they sit and experience this sound piece, that this is not a piece of art born from an imagined, dystopian future. The events described and represented all happened to real people and real places. As our climate changes at a rapidly accelerating rate, the island of Ireland is particularly vulnerable to an increased frequency of devastating flood events. While this project and this piece of art have aimed to highlight and celebrate the shining threads of hope, inspiration and creativity our communities have shown in meeting the challenges posed by climate change, a note of alarm and urgency has also been sounded. And so, we invite you not just to listen, but to act and demand change that will protect our climate into the future. </p> <p>*<em>Featuring the sonification of monthly average rainfall observation data (1836 – 1924) for County Derry-Londonderry and County Tryone accessed via UK Met Office, and for Derry City and Strabane District and Ireland, monthly average rainfall observations (1976- 2005) and projections (2021 – 2100) for the high emission (RCP 8.5) climate scenario accessed via Met Eireann/ Translate project.</em></p> <p>The BluePrint project is led by the MaREI Centre, University College Cork, with partners the Playhouse, Derry City and Strabane District Council, and Mayo County Council. The BluePrint project is a recipient of the Creative Climate Action fund, an initiative from the Creative Ireland Programme. It is funded by the Department of Tourism, Culture, Arts, Gaeltacht, Sport and Media in collaboration with the Department of the Environment, Climate and Communications. </p> <p>Find out more: <a href="https://www.marei.ie/project/blueprint/">https://www.marei.ie/project/blueprint/</a></p>
Ice Anatomy: A Benchmark Dataset and Methodology for Automatic Ice Boundary Extraction from Radio-Echo Sounding Data
<p>The measurement of ice thickness is of great importance for the accurate estimation of glacier volume and the delineation of their bedrock topography. In particular, this is a crucial factor in forecasting the future evolution of glaciers in the context of a changing climate. In order to derive the ice thickness, the travel time of electromagnetic waves in radargrams acquired by radio-echo sounding (RES) systems is analyzed. This can only be achieved by identifying the ice surface and underlying ice bottom in corresponding radargrams. Manually identifying these two reflection horizons in RES data is a laborious and time-consuming process. Consequently, scientists are attempting to automate this task through the use of techniques such as deep learning. Such automation can significantly reduce the time between a field campaign and the calculation of the glacier's ice thickness distribution. In this paper, we present the first benchmark dataset for delineating the ice surface and bottom boundaries in RES data, to facilitate straightforward comparisons of deep learning models in the future. The ``IceAnatomy'' dataset comprises radargrams and the corresponding manual picks, amounting to a total of over 45,000km of observations. The RES data originates from three sources: FAU, CReSIS, and AWI. The dataset comprises different RES systems as well as different pre-processing methods. In addition, the data was acquired over a large range of geographical and glaciological settings, featuring different thermal regimes present in Antarctica and the Southern Patagonian Icefield. This diversity ensures that the models' behaviors can be analyzed in different scenarios. We define a standardized train-test split for each source in the dataset. This allows us to introduce not only a baseline model trained on the entire training set (the ``omni'' model), but also three source-specific baseline models. The source-specific models are trained exclusively on the subset of the training data acquired by the specified source. The baseline models provide an initial benchmark against which subsequent models can be compared. The source-specific models demonstrate more accurate results than the omni model. For the FAU, CReSIS, and AWI test sets, the source-specific models achieve Mean Meter Errors of 2.1m, 23.1m, and 4.9m for the ice surface and 9.1m, 78.2m, and 29.3m for the ice bottom. In relation to the mean measured ice thickness, these errors equate to 1.2%, 3.1%, and 0.3% for the ice surface and 4.9%, 10.4%, and 1.5% for the ice bottom.</p> <p> </p> <p> For more information, please read the following paper:</p> <p>[Coming soon. Currently under review.]</p> <p>Please also cite this paper if you plan on using the dataset.</p> <p> </p> <p>For the implementation of a baseline model please visit:</p> <p>[Coming soon]</p> <p> </p>
Text-fig. 2. Field photograph of the sampling locality, together with a schematic profile. Stratigraphic horizon from which the fossil wood fragment was extracted (white arrow) (Modified from Pires and Da Rosa 2000). in A New Fossil Fabaceae Wood From The Pleistocene Touro Passo Formation Of Rio Grande Do Sul, Brazil
Text-fig. 2. Field photograph of the sampling locality, together with a schematic profile. Stratigraphic horizon from which the fossil wood fragment was extracted (white arrow) (Modified from Pires and Da Rosa 2000).
Text-fig. 11. Longitudinal defleshing marks on ochre-stained tibia 98-601a-F to extract the meat of m. fibularis longus and part of m. flexor digitorum, fossilised rootlets visible on the shaft. in Consumption Of Canid Meat At The Gravettian Předmostí Site, The Czech Republic
Text-fig. 11. Longitudinal defleshing marks on ochre-stained tibia 98-601a-F to extract the meat of m. fibularis longus and part of m. flexor digitorum, fossilised rootlets visible on the shaft.
Text-fig. 1. Schematic maps showing location of the Prague Basin in the Barrandian area of the Czech Republic (a), the Koněprusy area (b), quarries in the Koněprusy area (c) and Jirásek's and Preisler's quarries (d). The exact location of the section described by Hladil et al. (1993) (1) and the new sections where the brachiopods were extracted (2) are figured. Abbreviations: UDI – upper dark interval, VČS-E – Velkolom Čertovy schody – východ quarry. in Rhynchonelliform Brachiopods And Trilobites Of The 'Upper Dark Interval' In The Koněprusy Area Devonian, Eifelian, Kačák Event; The Czech Republic
Text-fig. 1. Schematic maps showing location of the Prague Basin in the Barrandian area of the Czech Republic (a), the Koněprusy area (b), quarries in the Koněprusy area (c) and Jirásek's and Preisler's quarries (d). The exact location of the section described by Hladil et al. (1993) (1) and the new sections where the brachiopods were extracted (2) are figured. Abbreviations: UDI – upper dark interval, VČS-E – Velkolom Čertovy schody – východ quarry.
Average daily air temperature, precipitation and relative sunshine duration for Vallon de Nant catchment, extracted from gridded MeteoSwiss data (1961-2020)
<p>This excel file contains time series of daily temperature, precipitation and relative sunshine duration obtained as the spatial average of gridded data sets. The underlying original gridded data sets produced by MeteoSwiss are known as RhiresD, TabsD and SrelD. All meta data are included in the excel file.</p> <p>The data can e.g. be used for hydrological modelling. Comparison to local station data is not included.</p> <p><strong>This data set as well as the original data set should be cited</strong>.</p>
Relations from Italian Wikipedia using Unsupervised Information Extraction
<p>This dataset contains relations extracted from the Italian Wikipedia by the WikiOIE framework.<br> WikiOIE is based on UDPipe and the Universal Dependencies project for text processing.<br> It easily allows customizing the information extraction (IE) approach to automatically extract triples (subject, predicate, object).<br> This dataset contains relations extracted by two unsupervised IE methods. The former (<strong>simple</strong>) is based only on PoS-tag patterns; the latter (<strong>simpledep</strong>) also uses syntactic dependencies. <br> The extraction process is provided in JSON format.</p> <p>More information and the Java code are available here https://github.com/pippokill/WikiOIE</p> <p>Pierluigi Cassotti, Lucia Siciliani, Pierpaolo Basile,Marco de Gemmis, and Pasquale Lops. 2021. Extracting relations from Italian Wikipedia using unsupervised information extraction. In Proceedings of the 11th Italian Information Retrieval Workshop 2021 (IIR 2021). CEUR-WS.</p>
Extracted Ion Chromatograms for peaks detected by IDSL.IPA software
<p>Extracted Ion Chromatograms (EICs) for each detected peak by IDSL.IPA were generated using a custom R-code for the file 003.mzml. The dataset also contain EICs for peaks that were detected by MzMINE, XCMS and MS-DIAL software. </p>
Automatic extraction of opinions of users of social networks on reproductive behavior issues
<p>The database contains an upload of text comments in Russian from the social network Vkontakte in .tsv format (UTF-8 encoding). Comments are collected from communities, which discuss pregnancy, childhood, motherhood, paternity, etc. Comments are collected from communities, which discuss pregnancy, childhood, motherhood, paternity, etc. <br> The database contains train, test and valid sets for machine learning processing. For the analysis of opinions in the field of reproductive behavior, nine groups of the social network Vkontakte were selected, in the names or descriptions of which the words "childfree" and their variations were clearly present, and 341 groups, in the names or descriptions of which the keywords "mother", " mothers "," children ", etc. and the number of subscribers of which was more than 10,000 people. This distribution of groups depended on the different activity of groups - supporters of a childless lifestyle produced significantly more posts and comments on our topics. Using data from different groups of the social network Vkontakte avoids data homogeneity - one of the weak points of sentiment analysis. Thus, the presented database is suitable for the analysis of specific demographic groups, which we conditionally called “anti-natalists” and “pronatalists”. Note that in the group of pronatalists there are largely representatives of a small child model of reproductive behavior. The sample contains data about stance on 6 topics: "maternity capital / benefits", "abortion", "large families", "childlessness", "parental leave", "individualism".The topics are selected by a set of keywords such as abortion, childfree, rest, no child and so on.</p> <p>Sentences from the collected sample were randomly selected for annotator marking. Each sentence was marked with three annotators. Since each sentence could discuss several issues, the annotator marked each sentence on all seven topics. The proposals were marked up mainly by professional demographers and linguists.</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.