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15,733 results for “article”
Data for article "Why do red/purple young leaves suffer less insect herbivory: tests of the warning signal hypothesis and the undermining of insect camouflage hypothesis"
<p>This data is associated with the manuscript titled “Why do red/purple young leaves suffer less insect herbivory: tests of the warning signal hypothesis and the undermining of insect camouflage hypothesis”.</p> <p>https://doi.org/10.1007/s11829-022-09924-x</p>
Dataset related to article "Phosphoproteomic mapping of CCR5 and ACKR2 signaling properties"
<p>This record contains raw data related to article "Phosphoproteomic mapping of CCR5 and ACKR2 signaling properties"</p> <p>ACKR2 is an atypical chemokine receptor structurally uncoupled from G proteins and unable to activate those signaling pathways used by conventional chemokine receptors to promote cell migration. Nevertheless, ACKR2 regulates inflammation and immune responses by shaping chemokine gradients in tissues by means scavenging inflammatory chemokines. To investigate the signaling pathways downstream ACKR2, a quantitative SILAC-based phosphoproteomic analysis coupled to systems biology approaches based on network analysis was carried out in a HEK293 cell model expressing ACKR2 or its conventional counterpart CCR5, stimulated or not with the common agonist CCL3L1 for short (3 min) and long (30 min) time points. As expected, many of the identified proteins are known to participate in conventional signal transduction pathways and in the regulation of cytoskeleton dynamics. However, our analyses revealed unique phosphorylation and network signatures, suggesting roles for ACKR2 other than its scavenger activity. In conclusion, mapping of phosphorylation events at holistic level indicated that conventional and atypical chemokine receptors differ for signaling properties and provide an unprecedented level of detail of chemokine receptor signaling aimed at identifying potential targets for regulation of ACKR2 and CCR5 function.</p>
Dataset of PNAS article "Morphological instability and roughening of growing 3D bacterial colonies"
<p>Dataset of the PNAS article "Morphological instability and roughening of growing 3D bacterial colonies", including numerical simulations and raw images of all Main Text and SI figures.</p>
Data and software in support of article submitted to Journal Geophy. Res. Atmos., titled "Self lofting increases altitude of black carbon in a climate model""
<p>The collection provides data and software to support a journal article submission to the Journal of Geophysical Research Atmospheres. The contents will allow potential future investigators to explore the simulation data and reproduce the analyses in the submitted article.</p> <p>This dataset includes 7 tarred files that when expanded will contain a set of netcdf data files and a collection of python programs to read and analyze the data. The data provided in the netcdfs are model outputs from the UK Earth System Model (UKESM1) from a pair of simulations that explored the impact of black carbon aerosol on atmospheric motion.</p> <p> </p>
Library Carpentry SQL Lesson - DOAJ Article Sample Database
<p>Sample Library Carpentry SQL lesson database created from the Directory of Open Access Journals (DOAJ) data. The sample SQL database contains tables: articles, journals, languages, licences, and publishers. Previous version of the sample SQL database: Staiger, Christine (2016): LC-articles. figshare. Dataset. https://doi.org/10.6084/m9.figshare.3409471.v3</p>
Y2K Newspaper Article
Y2K Newspaper Article Source: Objaverse 1.0 / Sketchfab
Supporting materials of the article entitled: MR-guided joint reconstruction of activity and attenuation in brain PET-MR
<p>Abolfazl Mehranian, Habib Zaidi and Andrew J. Reader "MR-guided joint reconstruction of activity and attenuation in brain PET-MR", Neuroimage, 2017, in press</p>
Dataset for article: "Massively parallel de novo protein design for targeted therapeutics", DOI: 10.1038/nature23912
<p><strong>"Massively parallel de novo protein design for targeted therapeutics" </strong></p> <p>DOI: 10.1038/nature23912 </p> <p><strong>Supplementary Information</strong>. Archive of designs, Rosetta metrics and experimental results.</p> <p>Authors: <strong>Aaron Chevalier*</strong>, <strong>Daniel-Adriano Silva*</strong>, <strong>Gabriel J. Rocklin*</strong>, Derrick R. Hicks, Renan Vergara, Patience Murapa, Steffen M. Bernard, Lu Zhang, Kwok-ho Lam, Guorui Yao, Christopher D. Bahl, Shin-ichiro Miyashita, Inna Goreshnik, James T. Fuller, Merika T. Koday, Cody Jenkins, Tom Colvin, Lauren Carter, Alan Bohn, Cassie M. Bryan, D. Alejandro Fernández-Velasco, Lance Stewart, Min Dong, Xuhui huang, Rongsheng Jin, Ian A. Wilson, Deborah H. Fuller & <strong>David Baker</strong></p> <p><strong>*These authors contributed equally to this work</strong>.</p> <p>Correspondence to: dabaker@uw.edu</p> <p>Dataset Compiled by D-A.S.</p> <p>Date: 13/Sep/2017</p>
Austrian Science Fund (FWF) publication costs in 2013 for journal articles_Exercise-workshop open science
<p>FWF journal publication costs 2013 used for the open science workshop, 27.09.2017</p> <p><strong>Austrian Science Fund (FWF) publication costs in 2013 for journal articles</strong><strong> </strong></p> <p> </p> <p>This dataset is licensed under a CC-0 license. </p> <p> </p> <p><strong>Explanation of data - Overview</strong><strong> </strong></p> <p> </p> <p>The dataset includes payments for articles of authors funded by the Austrian Science Fund (FWF) via the program 'Peer Reviewed Publications', see: http://www.fwf.ac.at/en/projects/peer-reviewed_publications.html </p> <p>The dataset only includes information when costs were applied via the program Peer Reviewed Publications. If an author has covered the costs by the global budget of his/her research project, by other resources or the publisher provides a Gold OA service free of charge, this information is not included in this dataset. </p> <p> </p> <p>Payments are either reimbursed to the authors or directly paid to the publishers by the FWF.</p> <p> </p> <p>The data slightly differs from FWF's annual report 2013 because this dataset does not include payments for Proceedings, Open Access Books, repayments by publishers in the case of double payments or submission fees for articles which were not published. </p> <p><strong>The dataset contains the following elements</strong><strong> </strong> </p> <p><strong>DOI/PMID</strong></p> <p>Usually the DOI-number (Digital Object Identifier) of an article is listed, and the PMID (PubMed ID) where DOI is not available. In very few cases, no permanent identifier exists. </p> <p><strong>COST TYPE </strong></p> <p>(1) Gold Open Access and (2) Hybrid Open Access are defined by FWF's Open Access Policy, see: http://www.fwf.ac.at/en/public_relations/oai/index.html</p> <p>(3) "Other publication costs" are defined as additional costs to the subscription price charged by subscription journals (i.e. submission fees, colour charges, page charges, figure charges, table charges, supplemental charges.) </p> <p> </p> <p><strong>COST </strong></p> <p>Some articles are listed twice because they are charged for Hybrid Open Access as well as for Other publication costs. These articles are marked in <strong>red</strong> in the field "Article Title." </p> <p> </p> <p>All costs have been converted into EURO (€) and include VAT where applicable. </p> <p> </p> <p>Different prices for the same journal are caused either by exchange rate fluctuation or by cost sharing among authors. When these differences are small, it can be assumed that this reflects exchange rate fluctuations. Where they are significant, then it should be assumed that other funders have contributed to the cost of that APC (Article Processing Charge), and the figure cited is the FWF contribution to that APC. </p> <p><strong>ARTICLE TITLE </strong></p> <p>This is the title of the article as stated on the journal website. </p> <p> </p> <p><strong>JOURNAL TITLE </strong></p> <p>Most journal title information were collected from Scopus but some were entered manually. </p> <p> </p> <p><strong>PUBLISHER </strong></p> <p>Sources for publisher names are: (a) Romeo/Sherpa-database or (b) the journal websites. </p> <p><strong>YEAR OF PUBLICATION </strong></p> <p>It shows the year of publication of an article reimbursed/paid in 2013 by the FWF.</p> <p> </p> <p>In some cases, there is a time lag of a year and more between the year of publication and the payment in 2013. That is mostly explained by administrative delays. However, it was monitored by the FWF that these articles were made Open Access by the publishers at the date of online publication. In very few cases, some days of delay were tolerated. For the cases in questions, see "Notes".</p> <p> </p> <p><strong>OPEN ACCESS </strong></p> <p>"OA" is used when APCs were charged either for an article in an Open Access journal or for Hybrid Open Access in a subscription journal.</p> <p> </p> <p><strong>LICENSE</strong></p> <p>Status of licenses are tracked according to Open Article Gauge,</p> <p> </p> <p><strong>NOTES</strong></p> <p>Additional information, if necessary.</p> <p> </p> <p> </p>
Data for article "Quantum Correlations of Light from a Room-Temperature Mechanical Oscillator"
<p>Figures data, data processing code and sample fabrication details for article "Quantum Correlations of Light from a Room-Temperature Mechanical Oscillator", </p> <p>Phys. Rev. X <strong>7</strong>, 031055 – Published 26 September 2017</p>
Patenting human genes: Chinese academic articles' portrayal of gene patents
<p>A systematic review of the literature was conducted to identify concerns that Chinese scholars have regarding gene patents, including benefits and risks of patenting human genes, attitudes researchers hold towards the gene patenting, and any legal and policy recommendations offered for the gene patent regime in China.</p>
CMDS results for Groups article
<p>CMDS results for Groups article.</p>
Monthly MODIS LST data related to the article: A new fully gap-free time series of land surface temperature from MODIS LST data
<p>Temperature time series with high spatial and temporal resolutions are important for several applications. The new MODIS Land Surface Temperature (LST) collection 6 provides numerous improvements compared to collection 5. However, being remotely sensed data in the thermal range, LST shows gaps in cloud-covered areas. With a novel method [1] we fully reconstructed the daily global MODIS LST products MOD11C1 and MYD11C1 (spatial resolution: 3 arc-min, i.e. approximately 5.6 km at the equator). For this, we combined temporal and spatial interpolation, using emissivity and elevation as covariates for the spatial interpolation. Here we provide a time series of these reconstructed LST data aggregated as monthly average, minimum and maximum LST maps.</p> <p>[1] Metz M., Andreo V., Neteler M. (2017): A new fully gap-free time series of Land Surface Temperature from MODIS LST data. Remote Sensing, 9(12):1333. DOI: http://dx.doi.org/10.3390/rs9121333</p> <p>LICENSE: Open Data Commons Open Database License (ODbL) http://opendatacommons.org/licenses/odbl/</p> <p>Acknowledgments: We are grateful to the NASA Land Processes Distributed Active Archive Center (LP DAAC) for making the MODIS LST data available. The dataset is based on MODIS Collection V006.</p> <p><strong>The data available here for download are the reconstructed global MODIS LST products MOD11C1/MYD11C1 at a spatial resolution of 3 arc-min</strong> (approximately 5.6 km at the equator; see https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table), <strong>aggregated to monthly data</strong>. The data are provided in GeoTIFF format. The Coordinate Reference System (CRS) is identical to the MOD11C1/MYD11C1 product as provided by NASA. In WKT as reported by GDAL:<br> <br> GEOGCS["Unknown datum based upon the Clarke 1866 ellipsoid",<br> DATUM["Not specified (based on Clarke 1866 spheroid)",<br> SPHEROID["Clarke 1866",6378206.4,294.9786982138982,<br> AUTHORITY["EPSG","7008"]]],<br> PRIMEM["Greenwich",0],<br> UNIT["degree",0.0174532925199433]]<br> </p> <p><strong>File name</strong> abbreviations:</p> <ul> <li>avg = average of daily averages</li> <li>min = minimum of daily minima</li> <li>max = maximum of daily maxima</li> </ul> <p>Meaning of <strong>pixel values</strong>:</p> <ul> <li>The <strong>pixel values</strong> are coded in <strong>degree Celsius * 100</strong> (hence, to obtain °C divide the pixel values by 100.0).</li> </ul> <p>Version <strong>changelog</strong>:</p> <ul> <li>V1.1.0: GeoTIFF metadata updated.</li> <li>V1.0.0: original upload</li> </ul>
Raw data of "Identification of two unannotated miRNAs in classic Hodgkin lymphoma cell lines" article.
<p>This is the dataset with used raw data regarding preparation of the manuscript entitled "Identification of two unannotated miRNAs in classic Hodgkin lymphoma cell lines" (10.1371/journal.pone.0283186).</p>
Data for article: Neural Graph Mapping for Dense SLAM with Efficient Loop Closure
<p>Data to reproduce experiments in "Neural Graph Mapping for Dense SLAM with Efficient Loop Closure".</p> <p>It contains:</p> <ul> <li>a preprocessed version of the Kintinuous data from <a href="https://github.com/mp3guy/Kintinuous">here</a> (kintinuous_data.zip)</li> <li>novel sequences on the larger Replica scenes (replica_big_data.zip)</li> <li>ORB-SLAM2 results on <ul> <li>Kintinuous (kintinuous_slam.zip)</li> <li>Replica Big (replica_big_slam.zip)</li> <li>Replica iMAP (replica_slam.zip)</li> <li>NRGBD (nrgbd_slam.zip)</li> <li>ScanNet subset (scannet_subset_slam.zip)</li> </ul> </li> <li>Additional views for evaluation purposes as <a href="https://github.com/JingwenWang95/neural_slam_eval">proposed by Co-SLAM</a> for<br> <ul> <li>Replica Big (replica_big_data.zip)</li> <li>Replica iMAP (replica_coslam_eval.zip, modified from <a href="https://github.com/JingwenWang95/neural_slam_eval">here</a> with additional views for staircase and kitchen scenes, which were missing in the original data)</li> <li>NRGBD (nrgbd_coslam_eval.zip, from <a href="https://github.com/JingwenWang95/neural_slam_eval">here</a>)</li> </ul> </li> </ul>
Dataset related to Research Article: Understanding the vicious cycle of myopic foresight and constrained technology deployment in transforming the European energy system
<p>Dataset related to research article:</p> <p><strong>Understanding the vicious cycle of myopic foresight and constrained technology deployment in transforming the European energy system</strong></p> <p>by Jacob Mannhardt, Paolo Gabrielli, Giovanni Sansavini (sansavig@ethz.ch)<br>Reliability and Risk Engineering Lab, Institute of Energy and Process Engineering, ETH Zurich</p> <p>All rights lie with the authors. All input data, source code, and result files needed to reproduce results and study. <br>Refer to README.docx for further information on content.</p>
Data for article "Non-Stokesian dynamics of magnetic helical nanoswimmers under confinement
<h4><strong>Data for article "Non-Stokesian dynamics of magnetic helical nanoswimmers under confinement", A. Fazeli, V. Thakore, T. Ala-Nissila, M. Karttunen</strong></h4> <p><span>● </span>Published version: https://doi.org/10.1093/pnasnexus/pgae182</p> <p><span>● </span>Preprint version: https://doi.org/10.48550/arXiv.2311.00839</p> <p> </p> <p>The article studied the effect of the degree of confinement on the propulsion of electromagnetically propelled helical nanoswimmers. The helices were subjected to different degrees of confinement between two infinite parallel plates and driven using a rotating magnetic field at different frequencies. The degree of confinement (Gamma) is defined as the ratio of a helix’s outer diameter over the distance between the two boundary plates.</p> <p>At the highest level in the directory hierarchy, there are two folders, i.e., “Simulation_Production_Files”, and “Simulations_by_Nanoswimmers”. The first one consists of the source code of the Lattice-Boltzmann Method package implemented in LAMMPS used for running the simulations. It also includes a Matlab script used for calculating the required simulation variables to put in the LAMMPS input script for a given simulation.</p> <p>The other folder, i.e., “Simulations_by_Nanoswimmers”, has subfolders first broken down by the swimmer’s name (i.e., H0-8), then by Gamma, and finally by field driving frequency. Each simulation folder, i.e., at “Simulations_by_Nanoswimmers/H0*/Gamma_0.*/Field_Frequency_*/”, consists of seven types of file as described in the table below.</p> <table> <tbody> <tr> <td> <p><strong>File</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>script.in</p> </td> <td> <p>LAMMPS input script. LAMMPS executes calculations by reading commands from this file.</p> </td> </tr> <tr> <td> <p>H*.data</p> </td> <td> <p>Swimmer’s geometry data file. This lists the xyz coordinates of the constituent atoms of the helix’s surface area. </p> </td> </tr> <tr> <td> <p>bodies-*.lammpstrj</p> </td> <td> <p>A simulation output file. This lists the xyz coordinates of all helix’s atoms per timestep.</p> </td> </tr> <tr> <td> <p>H1cm-*.lammpstrj</p> </td> <td> <p>A simulation output file. This lists the xyz coordinates and linear velocities of the helix’s center of mass per timestep.</p> </td> </tr> <tr> <td> <p>H1omega-*.lammpstrj</p> </td> <td> <p>A simulation output file. This lists the xyz coordinates and linear velocities of an outer atom (i.e., an atom with a distance of minor radius plus major radius from the helix’s centerline). The tangential velocities of this atom are used to calculate the helix’s angular velocity. </p> </td> </tr> <tr> <td> <p>H1plane-*.lammpstrj</p> </td> <td> <p>A simulation output file. This lists the xyz coordinates of the three atoms used to construct a hypothetical plane fixed with respect to the helix body. This plane is used to keep track of orientation when calculating the helix’s angular velocity.</p> </td> </tr> <tr> <td> <p>torques-*.txt</p> </td> <td> <p>A simulation output file. These list the viscous drag torque experienced by the helix around the x-, y-, and z- axes.</p> </td> </tr> </tbody> </table> <p> </p> <p>The asterisks refer to the Shell (bash) wildcard character.</p> <p> </p>
Dataset accompanying the article: West Nile virus surveillance using sentinel birds: results of eleven years of West Nile virus testing in corvids in a region of Northern Italy
<p>In this dataset are resumed the results of West Nile virus surveillance in sentinel corvids in the Emilia-Romagna region, Northern Italy. Overall, 15,632 European magpies (<em>Pica pica</em>), 4670 Hooded crows (<em>Corvus cornix</em>), and 2012 Eurasian jays (<em>Garrulus glandarius</em>) were collected between May and October 2013-2023. In the nine provinces of the region, birds were shot or captured using Larsen traps and killed by trained hunters by cervical dislocation in accordance with the provisions of the national legislation on animal welfare (Council Regulation (EC) 1099/2009). Sampling was carried out on a voluntary basis under the supervision of the official veterinary services, which ensured rapid delivery of the birds to the laboratory in charge of testing.</p> <p>From each sampled bird, heart, brain, kidney, and spleen were pooled, mechanically homogenized and tested by real-time PCRs to detect WNV RNA (Del Amo et al., 2013; Eiden et al., 2010; Tang et al., 2006). All tests were performed in the same laboratory (Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna; IZSLER, Reggio Emilia site).</p> <p>The following data are available for statistical analysis: bird species, sampling date, sampling province, date of delivery to the laboratory, testing start date, test result, date of notification of positive result.</p> <p>In the same dataset are reported some data about incidence of human cases of disease due to West Nile virus infection (neurological disease or fever), per year, week, and province.</p> <p>The record trace is described in Table 1.</p> <p>References</p> <p>1. Del Amo, J., Sotelo, E., Fernández-Pinero, J., Gallardo, C., Llorente, F., Agüero, M., Jiménez-Clavero, M.A., 2013. A novel quantitative multiplex real-time RT-PCR for the simultaneous detection and differentiation of West Nile virus lineages 1 and 2, and of Usutu virus. J Virol Methods 189, 321–327. https://doi.org/10.1016/j.jviromet.2013.02.019</p> <p>2. Eiden, M., Vina-Rodriguez, A., Hoffmann, B., Ziegler, U., Groschup, M.H., 2010. Two new real-time quantitative reverse transcription polymerase chain reaction assays with unique target sites for the specific and sensitive detection of lineages 1 and 2 West Nile virus strains. J Vet Diagn Invest 22, 748–753. https://doi.org/10.1177/104063871002200515 </p> <p>3. Tang, Y., Anne Hapip, C., Liu, B., Fang, C.T., 2006. Highly sensitive TaqMan RT-PCR assay for detection and quantification of both lineages of West Nile virus RNA. J Clin Virol 36, 177–182. <a href="https://doi.org/10.1016/j.jcv.2006.02.008">https://doi.org/10.1016/j.jcv.2006.02.008</a></p> <p> </p> <p>Table 1. Dataset record trace</p> <table> <tbody> <tr> <td> <p><strong>Field_name</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>Year</p> </td> <td> <p>Year of sampling</p> </td> </tr> <tr> <td> <p>province_CODE</p> </td> <td> <p>Italian code of the province of sampling</p> </td> </tr> <tr> <td> <p>BIRD_species</p> </td> <td> <p>Bird species collected: magpie (Pica pica), hooded crow (Corvus cornix); jay (Garrulus glandarius)</p> </td> </tr> <tr> <td> <p>N_birds_collected</p> </td> <td> <p>Number of birds collected</p> </td> </tr> <tr> <td> <p>Sampling_ID</p> </td> <td> <p>Sampling code</p> </td> </tr> <tr> <td> <p>dt_sampling</p> </td> <td> <p>Sampling date of birds</p> </td> </tr> <tr> <td> <p>dt_delivery</p> </td> <td> <p>Date of delivery to the lab (birds)</p> </td> </tr> <tr> <td> <p>dt_registration</p> </td> <td> <p>Date of registration of the lab (birds)</p> </td> </tr> <tr> <td> <p>dt_analysis</p> </td> <td> <p>Date of analysis (birds)</p> </td> </tr> <tr> <td> <p>dt_notification</p> </td> <td> <p>Date of result notification (birds)</p> </td> </tr> <tr> <td> <p>WNV_PCR_Positive</p> </td> <td> <p>Number of birds with WNV Positive result (PCR)</p> </td> </tr> <tr> <td> <p>WNV_PCR_tested</p> </td> <td> <p>Number of birds tested (PCR)</p> </td> </tr> <tr> <td> <p>WNV_PCR_not_tested</p> </td> <td> <p>Number of birds not tested</p> </td> </tr> <tr> <td> <p>WNV_PCR_Negative</p> </td> <td> <p>Number of birds with WNV Negative result (PCR)</p> </td> </tr> <tr> <td> <p>sampling_week_corvids</p> </td> <td> <p>Number of week of sampling (birds)</p> </td> </tr> <tr> <td> <p>notification_week_corvids</p> </td> <td> <p>Number of week of result notification (birds)</p> </td> </tr> <tr> <td> <p>num_WNhuman_cases</p> </td> <td> <p>Number of WN disease human cases</p> </td> </tr> <tr> <td> <p>first_human_notification_dt</p> </td> <td> <p>Date of notification of the first human disease case</p> </td> </tr> <tr> <td> <p>province_pop</p> </td> <td> <p>Province population</p> </td> </tr> <tr> <td> <p>human_inc</p> </td> <td> <p>Incidence of human cases (x100,000)</p> </td> </tr> <tr> <td> <p>flag_season_human_cases</p> </td> <td> <p>Occurrence of WN human cases (1=Yes; 0=No)</p> </td> </tr> <tr> <td> <p>week_first human_case</p> </td> <td> <p>Number of week of notification of the first human disease case</p> </td> </tr> <tr> <td> <p>early_detection_code</p> </td> <td> <p>Early detection code (1=first detection in birds; 0=first detection in human beings; 9=No case detection in human beings)</p> </td> </tr> <tr> <td> <p>province_sup_km2</p> </td> <td> <p>Province surface (km2)</p> </td> </tr> <tr> <td> <p>delta_sampling_lab</p> </td> <td> <p>Days from sampling to delivery to the lab (birds)</p> </td> </tr> <tr> <td> <p>delta_lab_testing</p> </td> <td> <p>Days from lab registration to test (birds)</p> </td> </tr> <tr> <td> <p>delta_testing_notification</p> </td> <td> <p>Days from testing to result notification (birds)</p> </td> </tr> <tr> <td> <p>delta_sampling_notification</p> </td> <td> <p>Days from sampling to result notification (birds)</p> </td> </tr> </tbody> </table> <p> </p>
Data related to article: Shrubs exhibit competitive interactions with herbaceous plants and shape community assemblage and functional composition in alpine western Himalaya
<p>To understand the interaction between dominant shrubs and herbacous communities in the alpine region of western Himalaya, a field study was conducted along the elevation gradient (3500-5000 masl). During the field survey, we have collected population data, plant functional trait data and soil physico-chemical data from shrub undercanopy and adjacent open habitats. Relative Interaction Index and L0g ratio were calculated using the population data. Further, plant functional traits data and soil physicochemical data were utilised to understand the functional comoposition and resource availability occuring in the contrasting habitats.</p>
material supporting the article "Internal tide surface signature and incoherence in the North Atlantic" by Lahaye et al (GRL, 2024)
<p>This repository contains some pre-processed data and a notebook for reproducing the plots of the paper "Internal tide surface signature and incoherence in the North Atlantic" by Lahaye et al, published in Geophysical Research Letter.</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.