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9,277 results for “ETS”
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 present data from the paper Holding et al. (2019). Seasonal and spatial patterns of primary production in a high-latitude fjord affected by Greenland Ice Sheet run-off. <em>Biogeosciences</em>, <em>16</em>(19), 3777-3792, /doi.org/10.5194/bg-16-3777-2019. This paper investigates patterns of primary productivity in a northeast Greenland fjord (Young Sound, 74°N), which receives run-off from the GrIS via land-terminating glaciers. This dataset includes measures of size fractioned primary production and chlorophyll <em>a </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 during the ice-free season along a spatial gradient of meltwater influence. </p> <p>We thank Egon Frandsen, Kunuk Lennert, and Ivali Lennert for excellent assistance during fieldwork. This research has beensupported by the Danish Environmental Protection Agency’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)). </p>
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). These data will not be updated regularly. 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 1995–2020. 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 (>1600) during the era of modernized National Weather Service warning and verification practices.</p>
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 "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" by Christine Strullu-Derrien, Alan RT Spencer, Christopher J Cleal 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 Tranchée des Malécots 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 Malécots mine headframe (.mp4 | 14.9.0MB).</p>
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 "authors" of this dataset from the publication</p> <p><strong>Ghaffari, G., Brolin, K., Bråse, D., Pipkorn, B., Svanberg, B., Jakobsson, L., & 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>
Passenger kinematics and muscle responses from autonomous braking events from Olafsdottir et al. 2013
<p>This data was extracted by the "authors" of this dataset from the publication</p> <p>Olafsdottir, J. M., Östh, J., Davidsson, J., & 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> </p>
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 "High-frequency voltage-driven vibrations in dielectric elastomer membranes" 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. </p>
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>
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 "Apportionment of the Pre-Industrial to Present-Day Climate Forcing by Methane using UKESM1" submitted for publication to J. Adv. Modeling Earth Sys as csv files. Scripts used for plotting also included. </p>
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. 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 themes:</p> <ul> <li>Socially feasible scaling of energy technologies</li> <li>Policy preferences & 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">Süsser, D., al Rakouki, H., & Lilliestam, J.(2021). The QTDIAN modelling toolbox–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">Süsser, D., Pickering, B., Chatterjee, S., Oreggioni, G., Stavrakas, V., & 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>
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 "Comparison of six approaches to predicting droplet activation of surface active aerosol. Part 1: moderately surface active organics" by Vepsäläinen 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. </p> <p>A plotter that allows the user to plot the Köhler curves, surface tensions and organic<br> partitioning factors during droplet growth from the model output data provided is included. </p>
Datasets for Spiliotis et. al., Laser Physics 30 075602 (2020)
<p>Datasets supplementing published journal article with DOI: <a href="https://doi.org/10.1088/1555-6611/ab8d2e">https://doi.org/10.1088/1555-6611/ab8d2e</a></p>
Datasets for Spiliotis et. al., Chem. Phys. Lett. 747 (2020) 137345
<p>Datasets supplementing 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>
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 Nölke et al. in an article published in Scientific Reports (2022).</p> <p>Metadata are provided in the first excel worksheet ('explanation_overview'). For further details please see the original research article.</p>
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 and all the cumulative statistics for the behavioural assays run with Stytra recomputed.</p> <p> </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. Subfolders contains, for each individual fish (both ablated and controls are pooled in the same directory):<br> - stytra raw output from the experiment<br> - data_from_suite2p_unfiltered.h5: `flammkuchen`-loadable `.h5` file that contains the raw fluorescent trace<br> - 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>
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 données est issue d’une enquête quantitative par questionnaire (nombre d’observations = 460, période : mars 2021). Elle est construite sur la base de la théorie du comportement planifié. La variable finale que le modèle cherche à expliquer (la variable dépendante) est l’intention d’utiliser les chèques psycho, dispositif proposé par le gouvernement français en février 2021, par les étudiants. Ces chèques permettent aux étudiants de bénéficier de 3 consultations auprès d’un psychologue conventionné, pour un montant total de 96 €.</p> <p>Les objectifs (et les utilisations possibles) de cette BDD sont autant orientés vers les besoins des acteurs (notamment ceux en charge de la mise en œuvre du dispositif « chèque psycho » pour les étudiants ou de dispositifs similaires) que des chercheurs.</p> <p>L’objectif opérationnel est de mesurer (statistiques descriptives) et de comprendre (statistiques explicatives) les facteurs qui conduisent des étudiants à envisager d’utiliser ce dispositif ; et donc à pouvoir comprendre comment agir pour optimiser cette utilisation. L’extension récente (juin 2021) de ce dispositif aux enfants et adolescents de 3 à 17 ans (dispositif « PsyEnfantAdo ») induit un deuxième objectif opérationnel : la possibilité pour les acteurs en charge de ce nouveau dispositif de s’inspirer de la méthodologie présentée dans cette base pour piloter au mieux ce projet.</p> <p>L’objectif théorique réside a) dans la prise en compte de l’impact d’un contexte (le vécu des étudiants durant la pandémie de la Covid-19 (t leur antécédents au niveau psychologique dans la théorie du comportement planifié (TCP) et b) dans la confirmation de la place de l’identité personnelle en tant que mesure alternative de l’intention comportementale (et non en tant que variable explicative de cette intention). Les chercheurs pourront également utiliser cette base dans des méta-analyses sur la TCP, la prise en compte du contexte dans la compréhension de l’intention comportementale et les impacts de la Covid-19.</p>
E-commerce et covid 19 en France. Une application de la théorie du comportement planifié
<p>Cette base de données est issue d’une enquête quantitative par questionnaire (n= 378, année 2021). Elle est construite sur la base de la théorie du comportement planifié. La variable dépendante est l’achat de biens et/ou de services par internet.</p> <p><em>Contenu de la base de données</em></p> <p>Le questionnaire comprend les mesures suivantes : 2 variables de segmentation (piratage et type d’achat), le comportement de l’individu (2 items : fréquence et récence), l’impact du Covid-19 sur la fréquence d’achat (1 item), l’intention comportementale (2 items dont 1 d’identité personnelle), les croyances sur les bénéfices attendus (11 items), l’attitude (3 items), les croyances sur les freins perçus (13 items), la perception de contrôle sur le comportement (2 items), les normes descriptives (2 items), les normes injonctives (2 items), 3 variables de signalétique (sexe, âge et CSP). L’administration étant réalisée en ligne, la base de données comprend également une variable « temps de saisie » du questionnaire qui pourra servir à épurer la base. Toutes les variables à échelle sont mesurées en 6 points.</p>
Ressources comptables en Dauphiné, Provence, Savoie et Venaissin (XIIIe - XVe siècle)
<p>Ce corpus, né d’un programme financé par l’Agence nationale de la Recherche, intitulé «Genèse médiévale d’une méthode administrative» (GEMMA), est le résultat d’une grande enquête sur l’évolution des techniques comptables dans les principautés du Sud Est de la France actuelle, Dauphiné, Provence, Savoie et Venaissin, entre le XIIIe et le début du XVIe siècle. Il tire avantage de l’expérience acquise par les équipes qui depuis plusieurs années travaillent à Chambéry et à Lyon sur les comptes des châtellenies de Savoie. Un grand nombre de médiévistes des universités d’Aix, Avignon, Chambéry, Grenoble 2, Lyon 2 et 3, Nice, Turin, Moncton et Montréal, mais aussi du CNRS et de l’EHESS y participent. Il consiste en quatre ans : à mener à bien une entreprise de numérisation en vue d’une publication sur le net des principaux éléments des séries comptables actuellement conservées pour ces principautés (les registres centraux en intégralité, ainsi qu’un échantillon représentatif des comptes des châtelains et clavaires) ; à multiplier par des voies différentes les transcriptions de ces sources pour les publier sur ce même site ; à développer d’un point de vue technique les modes d’accès et d’interrogation sur les corpus ainsi constitués ; à étendre enfin nos connaissances sur des pratiques en pleine évolution durant cette période, en les comparant entre elles et avec celles utilisées dans les espaces limitrophes (Empire, Italie, royaumes de France et d’Aragon), au travers de journées d’étude, de tables-rondes et de colloques organisés par chacun des partenaires.</p> <p>Format de fichier: XML</p> <p>Standards, conventions des données utilisées: XML TEI P5</p>
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, 12993–13000</p>
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 Electron Precipitation Curtains – 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 DOI: 10.5281/zenodo.6011631.</p>
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>
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.