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9,277 results for “ETS”

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zenodo44/100

Dataset from Holding et al. (2019)––Seasonal and spatial patterns of primary production in a high latitude fjord

<p>Unprecedented melting of the Greenland Ice Sheet (GrIS) is impacting the coastal ocean, and its effects on fjord ecology remain understudied. It has been suggested that as glaciers retreat, primary production regimes may be altered, rendering fjords less productive. Here we&nbsp;present data from the paper&nbsp;Holding&nbsp;et al.&nbsp;(2019). Seasonal and spatial patterns of primary production in a high-latitude fjord affected by Greenland Ice Sheet run-off.&nbsp;<em>Biogeosciences</em>,&nbsp;<em>16</em>(19), 3777-3792,&nbsp;/doi.org/10.5194/bg-16-3777-2019. This paper investigates&nbsp;patterns of primary productivity in a northeast Greenland fjord (Young Sound, 74&deg;N), which receives run-off from the GrIS via land-terminating glaciers.&nbsp;This dataset includes measures of&nbsp;size fractioned primary production&nbsp;and chlorophyll&nbsp;<em>a&nbsp;</em>biomass, as well as CTD data and biochemical parameters. Furthermore, primary production was measured using photosynthesis v. irradiance (PI) curves, thus PI curve parameters are also available. The data were taken&nbsp;during the ice-free season along a spatial gradient of meltwater influence.&nbsp;&nbsp;</p> <p>We thank Egon Frandsen, Kunuk Lennert, and Ivali Lennert for excellent assistance during fieldwork.&nbsp;This&nbsp;research&nbsp;has&nbsp;beensupported&nbsp;by&nbsp;the&nbsp;Danish Environmental Protection Agency&rsquo;s programme for Arctic research (DANCEA) (grant no. MST-112-0023), The Carlsberg Foundation (grant no. 2013_01_0532), the Norwegian Research Council (Mi- croPolar) (grant no. RCN 225956), and the European Commission, H2020 Research Infrastructures (GrIS-Melt (grant no. 752325) and INTAROS (grant no. 727890)).&nbsp;</p>

opencc-by-4.0Oct 2021View details →
zenodo44/100

United States tornado reports in landfalling tropical cyclones used in Paredes et al. (2021)

<p>These data include all tropical cyclone tornado reports used in Paredes et al. (2021) plus an additional year (e.g., 2020).&nbsp; These data will not be updated regularly.&nbsp; For the latest version, users should refer to https://www.spc.noaa.gov/misc/edwards/TCTOR/ or contact roger.edwards@noaa.gov.<br> <br> Each specific tropical cyclone tornado record has been extracted from the broader Storm Prediction Center tornado database, for all Atlantic and Gulf of Mexico tropical cyclones to affect the continental United States from 1995&ndash;2020. The tornado records were analyzed individually to determine their presence within the circulation envelope of either a classified or remnant tropical cyclone, without regard to fixed radii from tropical cyclone center, inland extent, temporal cutoffs before or after landfall, or other such arbitrary thresholds that may either exclude tropical cyclone events or include non-tropical cyclone tornadoes unnecessarily. Unlike other climatologies previously published in the literature, the chosen time period for this examination essentially covers only the full national deployment of the WSR-88D radar network in the United States. This permits consistent comparisons of a very large sample size of tropical cyclone tornado events (&gt;1600) during the era of modernized National Weather Service warning and verification practices.</p>

opencc-by-4.0Nov 2021View details →
zenodo44/100

Online Resources for Strullu-Derrien et al - The 330–320 Million-Year-Old Tranchée des Malécots (Chaudefonds-sur-Layon, South of the Armorican Massif, France): a Rare Geoheritage Site Containing In Situ Palaeobotanical Remains

<p>This repository contains the following files associate with &quot;The 330&ndash;320 Million-Year-Old Tranch&eacute;e des Mal&eacute;cots (Chaudefonds-sur-Layon, South of the Armorican Massif, France): a Rare Geoheritage Site Containing In Situ Palaeobotanical Remains&quot; by&nbsp;Christine Strullu-Derrien, Alan RT Spencer, Christopher J Cleal&nbsp;and Victor O. Leshyk.</p> <p><strong>Online Resource 1</strong> Model data as a .zip archive (301.5MB) containing .obj/.mtl and texture files for each 3D reconstruction (Models #1-4, whole site reconstruction, detailed reconstruction of the trench, and model of the mine site).</p> <p><strong>Online Resource 2</strong> Video animation showing whole site 3D model (.mp4 | 37.7MB), with quick fly-through of the Tranch&eacute;e des Mal&eacute;cots showing exposed rock and bedding of the SW wall.</p> <p><strong>Online Resource 3</strong> Video animation showing 3D Model #1 (.mp4 | 35.1MB).</p> <p><strong>Online Resource 4</strong> Video animation showing 3D Model #2 (.mp4 | 83.5MB).</p> <p><strong>Online Resource 5</strong> Video animation showing 3D Model #3 (.mp4 | 45.3MB).</p> <p><strong>Online Resource 6</strong> Video animation showing 3D Model #4 (.mp4 | 65.8MB).</p> <p><strong>Online Resource 7</strong> Video animation showing 3D model of the&nbsp;Mal&eacute;cots mine headframe (.mp4 | 14.9.0MB).</p>

opencc-by-4.0Feb 2022View details →
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Test Data of Passenger kinematics in Lane change and Lane change with Braking Manoeuvres from Ghaffari et al., 2018

<p>This data was extracted by the &quot;authors&quot; of this dataset from the publication</p> <p><strong>Ghaffari, G., Brolin, K., Br&aring;se, D., Pipkorn, B., Svanberg, B., Jakobsson, L., &amp; Davidsson, J. (2018). Passenger kinematics in Lane change and Lane change with Braking Manoeuvres using two belt configurations: standard and reversible pre-pretensioner. <em>2018 IRCOBI Conference Proceedings, </em>pp. 12-14, <a href="http://www.ircobi.org/wordpress/downloads/irc18/pdf-files/80.pdf">http://www.ircobi.org/wordpress/downloads/irc18/pdf-files/80.pdf</a>.</strong></p> <p>within the OSCCAR project and made publicly available for future validations of active Human Body Models.</p> <p><strong>If you use this data, please cite the original paper.</strong></p> <p>To use the data, a generic model of the vehicle environment is also openly available: <a href="https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3">https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3 </a></p>

opencc-by-4.0Dec 2021View details →
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Passenger kinematics and muscle responses from autonomous braking events from Olafsdottir et al. 2013

<p>This data was extracted by the &quot;authors&quot; of this dataset from the publication</p> <p>Olafsdottir, J. M., &Ouml;sth, J., Davidsson, J., &amp; Brolin, K. (2013). Passenger kinematics and muscle responses in autonomous braking events with standard and reversible pre‐tensioned restraints. In Ircobi conference proceedings 2013, IRC-13-70, pp. 602-617; <a href="http://www.ircobi.org/wordpress/downloads/irc13/pdf_files/70.pdf">http://www.ircobi.org/wordpress/downloads/irc13/pdf_files/70.pdf</a></p> <p>within the OSCCAR project and made publicly available for future validations of active Human Body Models.</p> <p>If you use this data, please cite the original paper.</p> <p>To use the data, a generic model of the vehicle environment is also openly available: <a href="https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3">https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3 </a></p> <p>&nbsp;</p>

opencc-by-4.0Dec 2021View details →
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Datasets for the paper "High-frequency voltage-driven vibrations in dielectric elastomer membranes" by G. Moretti et al.

<p>This upload contains the numerical datasets used for the numerical plots reported in the paper &quot;High-frequency voltage-driven vibrations in dielectric elastomer membranes&quot; by G. Moretti et al., Mechanical Systems and Signal Processing, Elsevier, 2022 (https://doi.org/10.1016/j.ymssp.2021.108677).</p> <p>Please refer to the readme file for information on the files structures and content.&nbsp;</p>

opencc-by-4.0Dec 2021View details →
zenodo44/100

Gilby et al- Scavenging across ecosystems dataset

<p>Data detailing the MaxN (i.e. relative abundance) and scavenging rates of vertebrates in four coasl ecosystems (beaches, headlands, coastal lagoons, and estuaries) on the Sunshine Coast, Australia.</p>

opencc-by-4.0Dec 2021View details →
zenodo44/100

Data plotted in Figures in O'Connor et al. paper on methane forcing, including plotting scripts

<p>The datasets included here are of the plotted data from the figures of the paper entitled &quot;Apportionment of the Pre-Industrial to Present-Day Climate Forcing by Methane using UKESM1&quot; submitted for publication to J. Adv. Modeling Earth Sys as csv files. Scripts used for plotting also included.&nbsp;</p>

opencc-by-4.0Dec 2021View details →
zenodo44/100

Data related to Süsser et al. (2021) QTDIAN modelling toolbox

<p>QTDIAN - Quantification of Technological DIffusion and sociAl constraiNts - is a toolbox of qualitative and quantitative descriptions of socio-technical and political aspects of the energy transition that influence the overall potential, the rate of energy-related technology and service diffusion and the design of the future energy system.&nbsp;The output of QTIDIAN is empirically founded datasets of social and political drivers and barriers of the transition, both in the form of raw data describing past and current developments and manipulated to constitute consistent quantifications of the storylines. Here you can download the data for six QTDIAN&nbsp; themes:</p> <ul> <li>Socially feasible scaling of energy technologies</li> <li>Policy preferences &amp; dynamics</li> <li>Barriers to infrastructural development (wind energy, grid development)</li> <li>Citizen energy</li> <li>Private energy demand</li> </ul> <p>Further information on the QTDIAN modelling toolbox and the data can be found in the SENTINEL Deliverable 2.3 and Deliverable 2.4:</p> <p><a href="https://www.iass-potsdam.de/de/ergebnisse/publikationen/2021/qtdian-modelling-toolbox-quantification-social-drivers-and">S&uuml;sser, D., al Rakouki, H., &amp; Lilliestam, J.(2021). The QTDIAN modelling toolbox&ndash;Quantification of social drivers and constraints of the diffusion of energy technologies. Deliverable 2.3. Sustainable Energy Transitions Laboratory (SENTINEL) project. Potsdam: Institute for Advanced Sustainability Studies (IASS).</a></p> <p><a href="https://www.iass-potsdam.de/de/ergebnisse/publikationen/2021/integration-socio-technological-transition-constraints-energy-demand">S&uuml;sser, D., Pickering, B., Chatterjee, S., Oreggioni, G., Stavrakas, V., &amp; Lilliestam, J.(2021). Integration of socio-technological transition constraints into energy demand and systems models. Deliverable 2.5. Sustainable Energy Transitions Laboratory (SENTINEL) project. Potsdam: Institute for Advanced Sustainability Studies (IASS).</a></p>

opencc-by-4.0Jun 2021View details →
zenodo44/100

Output data of the models used in "Comparison of six approaches to predicting droplet activation of surface active aerosol. Part 1: moderately surface active organics" by Vepsäläinen et al. (2022)

<p>Output data of the different models used in &quot;Comparison of six approaches to predicting droplet activation of surface active aerosol. Part 1: moderately surface active organics&quot; by Veps&auml;l&auml;inen et al. (2022).</p> <p>Output data is included for 50 nm particles containing malonic acid (mna), succinic acid (sca) and glutaric acid (glutarica), mixed with ammonium sulphate (AS) in different organic mass fractions.&nbsp;</p> <p>A plotter that allows the user to plot the K&ouml;hler curves, surface tensions and organic<br> partitioning factors during droplet growth from the model output data provided is included.&nbsp;</p>

opencc-by-4.0Jan 2022View details →
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Datasets for Spiliotis et. al., Laser Physics 30 075602 (2020)

<p>Datasets supplementing published journal article with DOI:&nbsp;<a href="https://doi.org/10.1088/1555-6611/ab8d2e">https://doi.org/10.1088/1555-6611/ab8d2e</a></p>

opencc-by-4.0Jan 2022View details →
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Datasets for Spiliotis et. al., Chem. Phys. Lett. 747 (2020) 137345

<p>Datasets supplementing&nbsp;published article with DOI: <a href="https://doi.org/10.1016/j.cplett.2020.137345">https://doi.org/10.1016/j.cplett.2020.137345</a></p>

opencc-by-4.0Jan 2022View details →
zenodo44/100

Dataset accompanying Nölke et al. 2022. The choice of the white clover population alters overyielding of mixtures with perennial ryegrass and chicory and underlying processes. Scientific Reports

<p>This repository contains biomass and nitrogen yield data as well as data on diversity effects used by N&ouml;lke et al. in an article published in Scientific Reports (2022).</p> <p>Metadata are provided in the first excel worksheet (&#39;explanation_overview&#39;). For further details please see the original research article.</p>

opencc-by-4.0Jan 2022View details →
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Xiao et al, Oligodendrocyte Precursor Cells Sculpt the Visual System by Regulating Axonal Remodeling [Dataset]

<p>Raw data from the behavior and imaging experiments of Xiao et al., Nature Neuroscience 2022. For additional details about the acquisition of each part of the dataset, refer to the methods section of the paper. From this dataset, using the published code, all the figures relative to the imaging in the optic tectum can be generated&nbsp;and all the cumulative statistics for the behavioural assays run with Stytra recomputed.</p> <p>&nbsp;</p> <p><strong>Organisation of the dataset</strong></p> <p>This dataset is organised in the following subdirectories:<br> - <em>freely_swimming</em>: contains the data for the freely swimming experiments quantifying motor activity in the various ablated groups. It contains subfolders of groups, each of which contains the Stytra raw data directories for all fish of that group. Refer to `Stytra` and `bouter` documentation for further details about the files.<br> - <em>OMR</em>: contains the data for the quantification of OMR reflex across different spatial frequencies. It contains subfolders for the control and ablated group, each of which contains the Stytra raw data directories for all fish of that group.<br> - <em>receptive_field_imaging</em>: contains the imaging data for the receptive field estimation. &nbsp;Subfolders contains, for each individual fish (both ablated and controls are pooled in the same directory):<br> &nbsp;&nbsp; &nbsp;- stytra raw output from the experiment<br> &nbsp;&nbsp; &nbsp;- data_from_suite2p_unfiltered.h5: `flammkuchen`-loadable `.h5` file that contains the raw fluorescent trace<br> &nbsp;&nbsp; &nbsp;- anatomy.mask: `flammkuchen`-loadable mask file saved by the `pypra` tool that was used for segmenting the tectum, delimiting the region of the tectum<br> The folder contains an additional file, `manual_alignment_offsets.h5`, where the offsets of the manual morphing across fish were saved.</p>

opencc-by-4.0Jan 2022View details →
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Covid-19 et Intention d'utiliser les chèques psycho par les étudiants : la prise en compte du contexte dans la théorie du comportement planifié

<p>Cette base de donn&eacute;es est issue d&rsquo;une enqu&ecirc;te quantitative par questionnaire (nombre d&rsquo;observations = 460, p&eacute;riode : mars 2021). Elle est construite sur la base de la th&eacute;orie du comportement planifi&eacute;. La variable finale que le mod&egrave;le cherche &agrave; expliquer (la variable d&eacute;pendante) est l&rsquo;intention d&rsquo;utiliser les ch&egrave;ques psycho, dispositif propos&eacute; par le gouvernement fran&ccedil;ais en f&eacute;vrier 2021, par les &eacute;tudiants. Ces ch&egrave;ques permettent aux &eacute;tudiants de b&eacute;n&eacute;ficier de 3 consultations aupr&egrave;s d&rsquo;un psychologue conventionn&eacute;, pour un montant total de 96 &euro;.</p> <p>Les objectifs (et les utilisations possibles) de cette BDD sont autant orient&eacute;s vers les besoins des acteurs (notamment ceux en charge de la mise en &oelig;uvre du dispositif &laquo;&nbsp;ch&egrave;que psycho&nbsp;&raquo; pour les &eacute;tudiants ou de dispositifs similaires) que des chercheurs.</p> <p>L&rsquo;objectif op&eacute;rationnel est de mesurer (statistiques descriptives) et de comprendre (statistiques explicatives) les facteurs qui conduisent des &eacute;tudiants &agrave; envisager d&rsquo;utiliser ce dispositif ; et donc &agrave; pouvoir comprendre comment agir pour optimiser cette utilisation. L&rsquo;extension r&eacute;cente (juin 2021) de ce dispositif aux enfants et adolescents de 3 &agrave; 17 ans (dispositif &laquo;&nbsp;PsyEnfantAdo&nbsp;&raquo;) induit un deuxi&egrave;me objectif op&eacute;rationnel&nbsp;: la possibilit&eacute; pour les acteurs en charge de ce nouveau dispositif de s&rsquo;inspirer de la m&eacute;thodologie pr&eacute;sent&eacute;e dans cette base pour piloter au mieux ce projet.</p> <p>L&rsquo;objectif th&eacute;orique r&eacute;side a) dans la prise en compte de l&rsquo;impact d&rsquo;un contexte (le v&eacute;cu des &eacute;tudiants durant la pand&eacute;mie de la Covid-19 (t leur ant&eacute;c&eacute;dents au niveau psychologique&nbsp;dans la th&eacute;orie du comportement planifi&eacute; (TCP) et b) dans la confirmation de la place de l&rsquo;identit&eacute; personnelle en tant que mesure alternative de l&rsquo;intention comportementale (et non en tant que variable explicative de cette intention). Les chercheurs pourront &eacute;galement utiliser cette base dans des m&eacute;ta-analyses sur la TCP, la prise en compte du contexte dans la compr&eacute;hension de l&rsquo;intention comportementale et les impacts de la Covid-19.</p>

opencc-by-4.0Jan 2022View details →
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E-commerce et covid 19 en France. Une application de la théorie du comportement planifié

<p>Cette base de donn&eacute;es est issue d&rsquo;une enqu&ecirc;te quantitative par questionnaire (n= 378, ann&eacute;e 2021). Elle est construite sur la base de la th&eacute;orie du comportement planifi&eacute;. La variable d&eacute;pendante est l&rsquo;achat de biens et/ou de services par internet.</p> <p><em>Contenu de la base de donn&eacute;es</em></p> <p>Le questionnaire comprend les mesures suivantes&nbsp;: 2 variables de segmentation (piratage et type d&rsquo;achat), le comportement de l&rsquo;individu (2 items&nbsp;: fr&eacute;quence et r&eacute;cence), l&rsquo;impact du Covid-19 sur la fr&eacute;quence d&rsquo;achat (1 item), l&rsquo;intention comportementale (2 items dont 1 d&rsquo;identit&eacute; personnelle), les croyances sur les b&eacute;n&eacute;fices attendus (11 items), l&rsquo;attitude (3 items), les croyances sur les freins per&ccedil;us (13 items), la perception de contr&ocirc;le sur le comportement (2 items), les normes descriptives (2 items), les normes injonctives (2 items), 3 variables de signal&eacute;tique (sexe, &acirc;ge et CSP). L&rsquo;administration &eacute;tant r&eacute;alis&eacute;e en ligne, la base de donn&eacute;es comprend &eacute;galement une variable &laquo;&nbsp;temps de saisie&nbsp;&raquo; du questionnaire qui pourra servir &agrave; &eacute;purer la base. Toutes les variables &agrave; &eacute;chelle sont mesur&eacute;es en 6 points.</p>

opencc-by-4.0Jan 2022View details →
zenodo44/100

Ressources comptables en Dauphiné, Provence, Savoie et Venaissin (XIIIe - XVe siècle)

<p>Ce corpus, n&eacute; d&rsquo;un programme financ&eacute; par l&rsquo;Agence nationale de la Recherche, intitul&eacute; &laquo;Gen&egrave;se m&eacute;di&eacute;vale d&rsquo;une m&eacute;thode administrative&raquo; (GEMMA), est le r&eacute;sultat d&rsquo;une grande enqu&ecirc;te sur l&rsquo;&eacute;volution des techniques comptables dans les principaut&eacute;s du Sud Est de la France actuelle, Dauphin&eacute;, Provence, Savoie et Venaissin, entre le XIIIe et le d&eacute;but du XVIe si&egrave;cle. Il tire avantage de l&rsquo;exp&eacute;rience acquise par les &eacute;quipes qui depuis plusieurs ann&eacute;es travaillent &agrave; Chamb&eacute;ry et &agrave; Lyon sur les comptes des ch&acirc;tellenies de Savoie. Un grand nombre de m&eacute;di&eacute;vistes des universit&eacute;s d&rsquo;Aix, Avignon, Chamb&eacute;ry, Grenoble 2, Lyon 2 et 3, Nice, Turin, Moncton et Montr&eacute;al, mais aussi du CNRS et de l&rsquo;EHESS y participent. Il consiste en quatre ans : &agrave; mener &agrave; bien une entreprise de num&eacute;risation en vue d&rsquo;une publication sur le net des principaux &eacute;l&eacute;ments des s&eacute;ries comptables actuellement conserv&eacute;es pour ces principaut&eacute;s (les registres centraux en int&eacute;gralit&eacute;, ainsi qu&rsquo;un &eacute;chantillon repr&eacute;sentatif des comptes des ch&acirc;telains et clavaires) ; &agrave; multiplier par des voies diff&eacute;rentes les transcriptions de ces sources pour les publier sur ce m&ecirc;me site ; &agrave; d&eacute;velopper d&rsquo;un point de vue technique les modes d&rsquo;acc&egrave;s et d&rsquo;interrogation sur les corpus ainsi constitu&eacute;s ; &agrave; &eacute;tendre enfin nos connaissances sur des pratiques en pleine &eacute;volution durant cette p&eacute;riode, en les comparant entre elles et avec celles utilis&eacute;es dans les espaces limitrophes (Empire, Italie, royaumes de France et d&rsquo;Aragon), au travers de journ&eacute;es d&rsquo;&eacute;tude, de tables-rondes et de colloques organis&eacute;s par chacun des partenaires.</p> <p>Format de fichier: XML</p> <p>Standards, conventions des donn&eacute;es utilis&eacute;es: XML TEI P5</p>

opencc-by-4.0Jun 2021View details →
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Dataset associated to Picone, A. et al., ACS Appl. Nano Mater. 2021, 4, 12, 12993–13000

<p>Dataset associated to paper published under the SINFONIA project</p> <p>Picone, A. et al., ACS Appl. Nano Mater. 2021, 4, 12, 12993&ndash;13000</p>

opencc-by-4.0Feb 2022View details →
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Dataset for Electron Precipitation Curtains – Simulating the Microburst Origin Hypothesis by T.P. O'Brien et al. submitted to J. Geophysical Res.

<p>Technical reports and data sets for the the paper&nbsp;Electron Precipitation Curtains &ndash; Simulating the Microburst Origin Hypothesis. Additional AC6 information can be found at rbspgwy.jhuapl.edu/ac6 and at spdf.gsfc.nasa.gov/pub/data/aaa_smallsats_cubesats/aerocube/aerocube-6/. AC6 data have also been ingested into the main CDAWeb database at cdaweb.gsfc.nasa.gov. Source code related to this data set can be found at https://github.com/tpoiii/dipole_tracer_ac6, or&nbsp;DOI: 10.5281/zenodo.6011631.</p>

opencc-by-4.0Dec 2021View details →
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Dataset associated with Banks et al. (2022): "Impacts of the desiccation of the Aral Sea on the Central Asian dust life-cycle"

<p>This dataset contains the COSMO-MUSCAT simulation output for the 'Dustbelt' (DUBLT) scenarios of Central Asian dust aerosol described by the paper "Impacts of the desiccation of the Aral Sea on the Central Asian dust life-cycle", written by Banks et al. and published in JGR in 2022 (<a href="https://doi.org/10.1029/2022JD036618">https://doi.org/10.1029/2022JD036618</a>).</p>

opencc-by-4.0Feb 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.