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9,277 results for “ETS”

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zenodo44/100

Data used to create figures and tables in the ACP manuscript "Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality" by Gao et al. (2022)

<p>This dataset contains the original data that extracted from all collected papers refering applications of two-way coupled&nbsp;models in Asia. It is supplied to the review paper, which titled as &quot;Review&nbsp;on&nbsp;two-way coupled meteorology and air quality models in Asia: impacts of aerosol feedbacks on meteorology and air quality&quot;. The dataset includes three excel files (in the format of xlsx) as follows:</p> <p>1. Basic information of literatures&nbsp;(Table S1.xlsx)</p> <p>2. Model performance metrics (Table S2.xlsx)</p> <p>3. Quantitative results of aerosol effects on meteorological and air quality variables (Table S3.xlsx)</p> <p>4.&nbsp;Basic information of model setup for two-way coupled model applications in Asia (Table S4.xlsx)</p> <p>5.&nbsp;Summary of aerosol-induced variations of simulated shortwave and longwave radiative forcing at the bottom and top of atmosphere and in the atmosphere in Asia (Table S5.xlsx)</p> <p>.</p>

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

Model results and observation data in Zhang et al. modeling of wave interference at Ocean Beach, CA

<p>The dataset contains modeling results and observation data supporting the manuscript of&nbsp;Phase-resolved modeling of wave interference and its effects on nearshore circulation in a large ebb shoal-beach system by Yu Zhang, Fengyan Shi, Jim Kirby, Xi Feng.</p>

opencc-by-3.0-usMar 2022View details →
zenodo44/100

La force des positions vulnerables : hégémonie financière et potentiel disruptif

<p>Dataset and R script related to the paper <a href="https://arcs.episciences.org/9233">La force des positions vuln&eacute;rables : H&eacute;g&eacute;monie financi&egrave;re et potentiel disruptif</a>, <em>ARCS</em>, 2018.</p>

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

PBMC CITE-seq, 10x Multiome, and TEA-seq multiomic datasets from Swanson, et al. eLife (2021).

<p>Assembled multiomic datasets from Swanson, et al.&nbsp;<em>Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq</em>.&nbsp;eLife 2021;10:e63632&nbsp;DOI:&nbsp;<a href="https://doi.org/10.7554/eLife.63632">10.7554/eLife.63632</a>&nbsp;</p> <p>Datasets were assembled from the GEO repository:&nbsp;<a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE158013">GSE158013</a>&nbsp;</p> <p>Data are provided as SeuratObjects stored in separate .rds files using the saveRDS() function in R.</p> <p>MuData files for use with Python tools (muon, scanpy, scvitools, et al.) will be added soon.</p> <p>Contact Lucas Graybuck (lucasg at alleninstitute dot org) if there are problems with these datasets.</p>

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

Data/ codes used in the the Natural Hazards and Earth System Sciences (NHESS) publication titled "Wind-Wave Characteristics and extremes along the Emilia-Romagna coast" by Pranavam Ayyappan Pillai et al. (2022)

<p>The archive contains datasets and codes used in the manuscript titled&nbsp;&quot;Wind-Wave Characteristics and extremes along the Emilia-Romagna coast&quot;, and published in the journal <em>Natural Hazards and Earth System Sciences</em>&nbsp;(<em>NHESS</em>) by Pranavam Ayyappan Pillai et al., 2022.</p> <p>Pranavam Ayyappan Pillai, U., Pinardi, N., Federico, I., Causio, S., Trotta, F., Unguendoli, S., and Valentini, A.: Wind-Wave Characteristics and extremes along the Emilia-Romagna coast, Nat. Hazards Earth Syst. Sci. Discuss.&nbsp;https://doi.org/10.5194/nhess-2022-103, 2022.</p>

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

Data and code for Bauer et al. (2023) Trees

<p>Data and code for:</p> <p>Bauer M, Krause M, Heizinger V &amp; Kollmann J (2023) <strong>Increased brick ratio in urban substrates has a marginal effect on tree saplings.</strong> &ndash; <em>Trees</em>. <a href="https://doi.org/10.1007/s00468-023-02391-8">DOI: 10.1007/s00468-023-02391-8</a></p>

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

Geosci. Model Dev. paper data for Flipo et al., "Regional coupled surface-subsurface hydrological model fitting based on a spatially distributed minimalist reduction of frequency-domain discharge data"

<p>Data and associated user guide, as part of the paper :</p> <p>Flipo N., Gallois N., Schuite J. Regional coupled surface-subsurface hydrological model fitting based on a spatially distributed minimalist reduction of frequency-domain discharge data, Geoscientific Model Development.</p> <p>In consistency with the &ldquo;Code and data availability&rdquo; sub-section of the paper, all data necessary for the reproduction of<br> Figs. 7, 8c, 8d, 9, 10 and 11 are here provided.</p>

openepl-2.0Mar 2022View details →
zenodo44/100

Les puits à eau protohistoriques en Alsace entre 2300 et 25 av. J.-C. : une synthèse régionale

<p>Inventory of the wells studied in the article<br> CROUTSCH (C.), GOEPFERT (S.), ROTH-ZEHNER (M.), F&Eacute;LIU (C.), TEGEL (W.),<br> PIERREVELCIN (G.), RAULT (E.) &mdash; Les puits &agrave; eau protohistoriques en Alsace entre<br> 2300 et 25 av. J.-C. : une synth&egrave;se r&eacute;gionale. In : CROUTSCH (C.), GOEPFERT (S.),<br> ADAM (A.-M.) dir. &mdash; Les puits de la Protohistoire dans l&rsquo;Est de la France. Strasbourg :<br> AVAGE, 2020, p. 63-98. (M&eacute;moires d&rsquo;arch&eacute;ologie du Grand Est ; 6).</p>

opencc-by-4.0Aug 2020View details →
zenodo44/100

Raw RNAseq count data for figure 4 - by Van de Beek et al., 2022

<p>This&nbsp;CSV file is generated by Van de Beek et al., (2022) and is part&nbsp;of&nbsp;&quot;<strong><em>PRDM10</em></strong><strong> directs <em>FLCN</em> expression in a novel disorder overlapping with Birt-Hogg-Dub&eacute; syndrome and familial lipomatosis</strong>&quot; to be published in Human Molecular Genetics.</p>

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

Data for Korner et al. "Birds and the Post Tower in Bonn: A case study of light pollution"

<p><strong>Abstract</strong></p> <p>During six consecutive autumn seasons we registered birds that were attracted to an illuminated 41-storey building in Bonn, Germany. Casualties on the ground were disoriented by the light and in most cases collided with the building. All-night observations with numbers of casualties, effective light sources, moon, and weather parameters registered hourly allowed for analyses of the role of these factors for the attraction and disorientation of numerous migratory birds. As expected, the conspicuous fa&ccedil;ade illumination was responsible for many casualties (fatal or non-fatal). Additionally, the illuminated roof logos and even faint light sources like the emergency lights were attractive and led to casualties. Moon and rain were negatively correlated with casualties, but there was no clear correlation with other weather parameters. Turning off lights was key, but effects of other <em>ex post</em> mitigation measures were limited: shutters were not originally intended for the attenuation of light emissions, control technology was insufficient, and there was a lack of willingness of the building owner to reduce light emissions consistently, even during core bird migration periods. Conservation recommendations are derived from this case study.</p> <p>&nbsp;</p> <p><strong>V&ouml;gel und der &bdquo;Postturm&ldquo; in Bonn: Eine Fallstudie zur Lichtverschmutzung</strong></p> <p>In sechs aufeinanderfolgenden Herbstsaisons erfassten wir die V&ouml;gel, die an ein beleuchtetes, 41st&ouml;ckiges Hochhaus in Bonn (Deutschland), den sog. &bdquo;Postturm &ldquo; angelockt wurden. Die Opfer am Boden waren aufgrund der Beleuchtung desorientiert und in den meisten F&auml;llen mit dem Geb&auml;ude kollidiert. Basierend auf Beobachtungen w&auml;hrend des gesamten Nachtverlaufes wurden die registrierten Opfer, die in Betrieb befindlichen Lichtquellen, Mond und Wettervariablen stundenweise dargestellt, um die Bedeutung dieser Faktoren f&uuml;r die Anlockung und Desorientierung zahlreicher Zugv&ouml;gel zu analysieren. Die auff&auml;llige Fassadenbeleuchtung war erwartungsgem&auml;&szlig; f&uuml;r die meisten der Todesf&auml;lle und Verletzungen verantwortlich. Zus&auml;tzlich f&uuml;hrten die beleuchteten Firmenlogos auf dem Dach und sogar schwache Lichtquellen wie die Notbeleuchtung zu Opfern durch Anlockung, auch bei ausgeschalteter Fassadenbeleuchtung. Mond und Regen korrelierten negativ mit den Opferzahlen, aber mit anderen Wettervariablen fehlten klare Korrelationen. Das Abschalten der Beleuchtung war ausschlaggebend, w&auml;hrend andere nachtr&auml;gliche Abhilfema&szlig;nahmen wenig wirksam waren: Sonnenschutzlamellen waren urspr&uuml;nglich beim Einbau nicht daf&uuml;r konzipiert, Lichtabstrahlung zu reduzieren, die Steuerungstechnik war fehleranf&auml;llig und die Bereitschaft der Geb&auml;udeeigent&uuml;merin, Lichtemissionen selbst w&auml;hrend der Kernzeiten des Vogelzugs konsequent zu reduzieren, war begrenzt. Aus dieser Fallstudie werden Empfehlungen f&uuml;r Schutzma&szlig;nahmen abgeleitet.</p>

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

Data and code for Bauer et al. (2022) Urban Ecosystems

<p>Data and code for:</p> <p>Bauer M, Krause M, Heizinger V, Kollmann J (2022) <strong>Using crushed waste bricks for urban greening with contrasting grassland mixtures: no negative effects of brick-augmented substrates varying in soil type, moisture and acid pre-treatment.</strong> &ndash; <em>Urban Ecosystems</em> 25, 1369-1378. <a href="https://doi.org/10.1007/s11252-022-01230-x">DOI: 10.1007/s11252-022-01230-x</a></p> <p><a href="https://github.com/markus1bauer/2022_waste_bricks_seedmixtures/blob/master/README.md">GitHub README</a></p>

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

Data for Li et al., Coupling remote sensing and particle tracking to estimate trajectories in large water bodies, International Journal of Applied Earth Observation and Geoinformation, 2022

<p>This data set contains four parts:</p> <p>1) compressed folder with input parameters and results for the hydrodynamic model</p> <p>2) compressed folder with input parameters and results for the particle tracking</p> <p>3) compressed folder with satellite data&nbsp;</p> <p>4) code used in the article for hydrodynamic model, particle tracking and image processing</p> <p>Each folder contains a readme file,</p>

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

Physlight - Camera Spectral Sensitivity Curves - Winquist et al. (2022)

<p><strong>Source URL</strong>:&nbsp;<a href="https://github.com/quister/physlight/commit/20100bce85c75fb7389949508d319d640e5d2be3">https://github.com/quister/physlight/commit/20100bce85c75fb7389949508d319d640e5d2be3</a></p> <p>Spectral sensitivity curves of a number of cameras as measured with Weta Digital&#39;s &#39;lightsaber&#39; system.</p>

openapache2.0May 2022View details →
zenodo44/100

Numerical data analysed to produce Figure 3a of Nature Climate Change submission "Five challenges for subseasonal to decadal prediction research " by Merryfield et al.

<p>NetCDF4-formatted files containing daily sea ice concentration data from Environment and Climate Change Canada&#39;s CanSIPSv2&nbsp;seasonal forecasting system described in Lin et al. (2020)&nbsp;https://doi.org/10.1175/WAF-D-19-0259.1&nbsp;</p> <ul> <li>2 models, CanCM4i and GEM-NEMO</li> <li>10 ensemble members for&nbsp;each model, each in separate files as indicated by suffixes _1 to _10</li> <li>initialized May 1, 1980 to 2021</li> <li>840 files total (42 predicted years x 10 ensemble members x 2 models)</li> <li>model outputs interpolated to common 1-degree grid</li> </ul> <p>The calibrated probabilistic forecast map shown in Figure 3a is based on&nbsp;the&nbsp;nonhomogeneous censored Gaussian regression (NCGR) method described in Dirkson et al, (2021)&nbsp;https://doi.org/10.1175/WAF-D-20-0066.1 and produced using scripts available at&nbsp;https://github.com/adirkson/sea-ice-timing&nbsp;</p> <p>The procedure&nbsp;uses as inputs</p> <ul> <li>freeze-up dates calculated from the provided model outputs as described in Sigmond et al. (2016)&nbsp;https://doi.org/10.1002/2016GL071396</li> <li> <p>NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 3: https://nsidc.org/data/G02202/versions/3</p> </li> </ul>

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

Data files for figures in "Deep learning extreme precipitation of the past, present, and under 1.5°C and 2.0°C global warming" by Bird et al. 2022

<p>The data files for figures in&nbsp;<em>Deep learning extreme precipitation of the past, present, and under 1.5&deg;C and 2.0&deg;C global warming</em> by Bird, Bodeker and Clem. The data files&nbsp;are provided either as self-describing netCDF files, or .csv files with column descriptors.</p>

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

McCulloch et al 2022 UM post-processed Mars dataset

<p>Supplementary dataset and Jupyter notebook for preproduction of UM data within figures presented in McCulloch <em>et al.,</em>&nbsp;2022.&nbsp;</p> <p>Data is a post-processed extract of the raw dataset for each variable. Data from the raw dataset has been extracted according to the appropriate Martian month, zonally meaned and converted to a&nbsp;<span class="math-tex">\(\sigma\)</span>/pressure coordinate system. This process is the same as is applied to the MCD dataset, which can be seen in the Jupyter notebook.</p> <p>The notebook provides the code needed to reproduce the figures with the given data. All instructions are detailed within the notebook, including package dependencies and configuration options.&nbsp;Due to licensing, we are only able to provide access to the UM post-processed data, for the MCD dataset please follow the instructions within the notebook.</p>

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

Code and data accompanying Palmeirim et al. (2022) Emergent properties of species-habitat networks in an insular forest landscape. Science Advances

<p>Dataset containing species distribution in insular forest fragments at Balbina and full R code for analyses and figures.</p> <p>For deatails, please see the original publication: &quot;Emergent properties of species-habitat networks in an insular forest landscape&quot;. Ana Filipa Palmeirim, Carine Emer, Ma&iacute;ra Benchimol, Danielle Storck-Tonon, Anderson S. Bueno, Carlos A. Peres. Science Advances (2022). 10.1126/sciadv.abm0397.</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2021View details →
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Data used in: 'Atmospheric impacts of chlorinated very short-lived substances over the recent past – Part 1: Stratospheric chlorine budget and the role of transport' by Bednarz et al. (2022)

<p>Data used in: &#39;Atmospheric impacts of chlorinated very short-lived substances over the recent past &ndash; Part 1: Stratospheric chlorine budget and the role of transport&#39; by Bednarz et al. (2022), which has been&nbsp;accepted for publication in Atmospheric Chemistry and Physics.</p> <p>&nbsp;</p>

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

Van de Ven et al._OE_2022_Dataset

<p>This dataset contains the underlying data (portfolio analysis runs) for the manuscript Van de Ven et al., submitted to One Earth in June 2022.</p>

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

Time series of Agulhas leakage from satellite altimetry. Update of Le Bars et al. 2014.

<p>Agulhas leakage time series updated from Le Bars et al. 2014 and Kelly et al. 2016.</p> <p>Final results are stored in:</p> <p>Trp_track_twb122_barot30W.nc,Trp_track_twb20_barot30W.nc and Trp_track_twb198_barot30W.nc</p> <p>An example of analysis and comparison with older time series is in the Python 3.9 Jupyter notebook:</p> <p>AnalyseOutputs.ipynb (AnalyseOutputs.html to simply visualise)</p> <p>The code and intermediate results are also provided. See README.txt for instructions on how to use it. It was written in 2013 with the NCAR Command Language and Python 2.? but it can still run now with later version of NCL and with Python 2.7.</p> <p>References:</p> <p>Le Bars, D., Durgadoo, J. V., Dijkstra, H. A., Biastoch, A., and De Ruijter, W. P. M.: An observed 20-year time series of Agulhas leakage, Ocean Sci., 10, 601&ndash;609, https://doi.org/10.5194/os-10-601-2014, 2014.</p> <p>Kelly, K. A., K. Drushka, L. Thompson, D. Le Bars, and E. L. McDonagh (2016), Impact of slowdown of Atlantic overturning circulation on heat and freshwater transports, Geophys. Res. Lett., 43, doi:10.1002/2016GL069789.</p>

opencc-by-4.0Aug 2022View details →

ScienceDex guides

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

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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

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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.