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10,016 results for “Observation”

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zenodo40/100

PCA Filtering of MMT Observatory 6.5m CCD47 Observations of LCROSS

<p>This archive contains data products from observations of the 2009-10-09 impact of the Lunar CRater Observation and Sensing Satellite (LCROSS) spacecraft on the Moon by the CCD47 instrument on the MMT Observatory 6.5m telescope. We use principal component analysis (PCA) filtering both to coregister the raw time series and to effectively remove a static background signal that is spatially and temporally modified by atmospheric and instrumental effects. We iteratively remove principal components from the data through cumulative sequential elimination (CSE) resulting in a non-detection of the LCROSS ejecta plume signal.</p> <p>Full details are available in the published journal article:</p> <p>Strycker, Paul D., Nancy J. Chanover, Ruth L. Temme, Jonathan M. Schotte, Payton L. Mueller, and Emily L. Karls. 2023. &quot;Time Series Analysis Methods and Detectability Factors for Ground-Based Imaging of the LCROSS Impact Plume&quot;&nbsp;<em>Remote Sensing</em>&nbsp;<strong>15</strong>, no. 1: 37. <a href="https://doi.org/10.3390/rs15010037">https://doi.org/10.3390/rs15010037</a></p> <p>This work was supported by NASA&rsquo;s Lunar Data Analysis Program through grant number NNX15AP92G.</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Data, code and supplementary material for "A data integration framework for spatial interpolation of temperature observations using climate model data"

<p>Each zipped file contains code and data to reproduce the results in the paper and supplementary material. The Cyprus folder contains also the files to run the model, as well as the associated results. The Morocco folder only contains the results and the code used to manipulate it.&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

Additional dataset concerning "Observations of mantle seismic anisotropy using array techniques: shear-wave splitting of beamformed SmKS phases"

<p>SplitRacer input and output for beams and single-station splitting measurements for event 201007290731. This dataset was used in &quot;Observations of mantle seismic anisotropy using array techniques: shear-wave splitting of beamformed SmKS phases&quot; by Jonathan Wolf, Daniel A. Frost, Maureen D. Long, Ed Garnero, Adeolu O. Aderoju, Neala Creasy and Ebru Bozdag. The manuscript is available at <a href="https://doi.org/10.1029/2022JB025556">https://doi.org/10.1029/2022JB025556</a>.</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Toward understanding tectonic and geometric control on the Lenglongling fault from inter- and co-seismic InSAR observations

<p>The datasets include the&nbsp;&nbsp;interseismic (2014-2021) and coseismic InSAR observations to characterize the interseismic slip-rate along the Qilian-Haiyuan fault, the fault geometry and coseismic slip distribution for the 2022 Menyuan earthquake.</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Kalman filter-based integration of GNSS and InSAR observations for local non-linear strong deformations

<p>The published database is related to the calculations presented in the paper &quot;Kalman filter-based integration of GNSS and InSAR observations for local non-linear strong deformations&quot;. The main catalogue contains three folders named as GNSS, Campaign, and DInSAR.</p> <p>In the GNSS folder, the time series of XYZ coordinates and uncertainties estimated in the post-processing scenario for RES1, PI02, PI03, PI04, PI05, and PI16&nbsp;permanent stations are provided. The GNSS calculations were performed at the Wrocław University of Environmental and Life Sciences in the ITRF2014 reference frame.</p> <p>The Campaign folder contains the results of epoch-based GNSS measurements and was used in the article as a verification data source. The Campaign results, prepared by the Military University of Technology, were used in the quality analyses. In order to co-locate the permanent PI02, PI04, PI05, and PI16 receivers with the nearest campaign points, a cross-reference was performed. The epoch-based time series of XYZ coordinates and uncertainties are provided in the ITRF2014 reference frame.</p> <p>The DInSAR interferograms were prepared at the Wrocław University of Environmental and Life Sciences and the results were stored in two directories named as Ascending and Descending. To perform a point-based unification of DInSAR and GNSS techniques, it was necessary to acquire the data from pixels intersected by the GNSS permanent station&#39;s locations. The DInSAR time series contain displacements (DSP), incidence angles (INC_ANG), heading angles (HEAD_ANG), and coherence (COH) data.</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Raw videos of the empirical observations performed studying large shoals of sulphur mollies (P. sulphuraria).

<p>Data acquired between April 6th and April 11th 2018 in Teapa, Tabasco, Mexico. These dataset was obtained for the study of the&nbsp;spontaneous wave activity observed in large shoals of sulphur mollies.&nbsp;Details on the analysis can be found in DOI: XX.XXXX/XXX&nbsp;(currently under review).</p> <p>The file called&nbsp;<a href="https://zenodo.org/api/files/3278318f-de77-4ee2-b1f2-0e7b6c6178aa/data_ALL_clusters.csv?versionId=e11e17f5-ac27-421c-bc83-09a2ea08dd1e">data_ALL_clusters.csv</a>&nbsp;contains four columns with the following information:</p> <ol> <li>cluster ID</li> <li>cluster area</li> <li>cluster volume</li> <li>cluster time duration</li> <li>cluster speed</li> </ol> <p>The h5 files contain the same information separated by acquisition day. In these h5 files, the areas, volumes and times are given in number of pixels and/or number of frames. Thus, they have to be re-scaled with the scaling factor dx=0.02 and dt=1/50.</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Ground-Based Remote Sensing Observations at Marquette, Michigan

<p>This dataset contains observations used in &quot;Multi-year analysis of rain-snow levels at Marquette, Michigan,&quot; Shates, Pettersen, L&#39;Ecuyer, and Kulie, submitted to Journal of Geophysical Research - Atmospheres, in revision.</p> <p>&nbsp;</p> <p>The dataset includes daily files of Micro Rain Radar2 (MRR) and Precipitation Imaging Package (PIP) observations.&nbsp;The MRR and PIP are both hosted at the National Weather Service office in Marquette, MI (Pettersen, Kulie, et al., 2020; Kulie et al., 2021). The MRR is a 24 GHz vertically profiling radar and observations have been post-processed using Maahn and Kollias (2012). Key variables include radar reflectivity, Doppler velocity and spectral width. The PIP is a custom video disdrometer that records shadows of hydrometeors to obtain key microphysical variables that include particle size distributions and vertical velocity distributions (Pettersen, Bliven, et al., 2020). Additional processing provides precipitation rates in liquid water equivalent and the effective density (Pettersen et al., 2021).&nbsp;&nbsp;</p> <p>The files are separated into daily MRR files, daily PIP Particle Size Distribution (PSD) files, daily PIP Vertical Velocity Distribution (VVD) files, and daily PIP precipitation rate (rain and non-rain) and&nbsp;effective density (edensity) files. The PSD and VVD files contain one-minute resolution particle counts and fall speeds, respectively, for particle diameter bins.</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Data for the paper "Effective Emission Heights of Various OH Lines From X-shooter and SABER Observations of a Passing Quasi-2-Day Wave"

<p>The provided ASCII tables are related to the paper &quot;Effective Emission Heights of Various OH Lines From X-shooter and SABER Observations of a Passing Quasi-2-Day Wave&quot;, which has been published in Journal of Geophysical Research: Atmospheres, Vol. 127, 2022 (DOI: 10.1029/2022JD036610).</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Data for figures 2 till4 of "Small-scale discharges observed near the top of a thunderstorm"

<p>The data as well as the .gle files for generating figures 2 till 4 of the paper<br> &quot;Small-scale discharges observed near the top of a thunderstorm&quot;</p> <p>by O.~Scholten, B.~M.~Hare, J.~Dwyer, N.~Liu, C.~Sterpka, J.~Assink, H.~Leijnse, S.~ter Veen</p> <p>submitted to JGR, see</p> <p><a href="https://www.essoar.org/doi/10.1002/essoar.10512414.1">https://www.essoar.org/doi/10.1002/essoar.10512414.1</a><br> for an earlier version of this work</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Data and Code for figures of "Long-range transport and fate of DMS-oxidation products in the free troposphere derived from observations at the high-altitude research station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes"

<p>This database includes the material to create the figures in &quot;Measurement Report: Long-range transport and fate of DMS-oxidation products in the free troposphere derived from observations at the high-altitude research station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes&quot; and the analyzed time series of all atmospheric variables presented.</p>

opencc-by-4.0Sep 2022View details →
dryad40/100

Data for: Zebra finch song ecology: monitoring of breeding, observational transects, focal and year-round acoustic recordings, and a large-scale simultaneous playback experiment

<p class="MsoNormal">Male songbirds sing to establish territories and to attract mates. However, increasing reports of singing in non-reproductive contexts and by females show that song use is more diverse than previously considered. Therefore, alternative functions of song, such as social cohesion and synchronisation of breeding, by and large were overlooked even in such well-studied species as the zebra finch (<em>Taeniopygia guttata</em>). In these social songbirds only the males sing and pairs breed synchronously in loose colonies following aseasonal rain events in their arid habitat. As males are not territorial, and pairs form long-term monogamous bonds early in life, conventional theory predicts that zebra finches should not sing much at all; yet they do and their song is the focus of hundreds of lab-based studies. We hypothesise that zebra finch song functions to maintain social cohesion and to synchronise breeding. Here we test this idea using data from five years of field studies, including observational transects, focal and year-round audio recordings, and a large-scale playback experiment. We show that zebra finches frequently sing while in groups, that breeding status influences song output at the nest and at aggregations, that they sing year-round, and that they predominantly sing when with their partner, suggesting that song remains important after pair formation. Our playback reveals that song actively features in social aggregations as it attracts conspecifics. Together, these results demonstrate that birdsong has important functions beyond territoriality and mate choice, illustrating its importance in coordination and cohesion of social units within larger societies.</p>

opencc-zeroDec 2021View details →
zenodo40/100

Arctic PASSION Online Seminar on Arctic Observing Systems

<p><strong>Arctic PASSION Online&nbsp;Seminar on &quot;Arctic Observing Systems - What, why, who and how to improve&quot;</strong></p> <p><strong>9 November 4 PM GMT</strong></p> <p>Have you ever wondered what Arctic observing systems actually are? What do they observe and why do we need them? What does the data tell us for our daily lives and how might this be important for your own research? And which role does climate monitoring play in the use of Arctic observing systems? This online seminar which is part of our ongoing&nbsp; &ldquo;Arctic PASSION Online Seminar and Dialogue Series&rdquo; answers these questions - and many more - and gives you an introduction to Arctic observing systems.&nbsp;</p> <p>In its first part, you will receive an overview of the general structure of Arctic observing systems and the relevant projects and networks currently working with them. A special focus will be laid on their current status and possible future improvements. To this end, you will also get an insight into the Arctic PASSION project whose mission is the implementation of a coherent and integrated Arctic observing system.</p> <p>The second part will introduce you to some of the problems researchers encounter when working with Arctic observing systems: The data they produce are scarce, intermittent and rarely cover all necessary variables. It then goes on to present you some of the possible solutions that projects like Arctic PASSION offer. It not only enhances planning and coordination across institutions and national programs but also facilitates applications if you need to work on a research vessel or need to use a drifting sea ice sensor platform for your own research. Hereby, examples of progress made in the first phase of the Arctic PASSION project will be given, along with plans for the coming years.&nbsp;</p> <p>Last but not least, the third part will focus on the importance and the role of Indigenous and Local Knowledge. Since Arctic observing systems impact policy- and decision-making, they also have a direct impact on Arctic Indigenous Peoples. They therefore have an invested interest in ensuring the observing systems are sufficient and effective. Through Indigenous Knowledge Systems and living in the Arctic, Indigenous Peoples are first to be aware of changes and have a holistic understanding of how changes will have ecosystem-wide impacts. This part will thereby demonstrate why equity is fundamental to the process of&nbsp;<a href="https://journalhosting.ucalgary.ca/index.php/arctic/article/view/74330/55607">SAON ROADS</a>&nbsp;in supporting Indigenous self-determination with decision-making power, as well as to supporting Indigenous Knowledges to be ethically part of the Arctic observing systems.</p> <p>&nbsp;</p> <p><strong>Speakers:&nbsp;</strong></p> <p>Michael Karcher (Arctic PASSION coordinator at Alfred Wegener Institute)</p> <p>Arild Sundfjord (Oceanographer at Norwegian Polar Institute/Arctic PASSION)</p> <p>Margaret Rudolf (Graduate Research Assistant at the International Arctic Research Center/SAON ROADS)</p> <p>Moderation:&nbsp;Lisa Grosfeld (Project Manager at the Alfred Wegener Institute/Arctic PASSION), Sabrina Heerema (Project Manager at&nbsp;GRID-Arendal/Arctic PASSION)</p> <p>&nbsp;</p> <p><strong>Webinar recording:&nbsp;</strong><a href="https://youtu.be/XRPERkwP7CY">https://youtu.be/XRPERkwP7CY</a></p> <p>&nbsp;</p> <p><strong>Related links:</strong></p> <p><a href="http://www.arcticpassion.eu/">www.arcticpassion.eu</a><br> <a href="http://www.apecs.is/">www.apecs.is</a><br> <a href="https://sites.google.com/view/fswg">https://sites.google.com/view/fswg</a><br> <a href="https://sites.google.com/alaska.edu/rna-observations/">https://sites.google.com/alaska.edu/rna-observations/</a><br> Mentioned in the chat: Online atlas of community-based monitoring: <a href="http://www.arcticcbm.org/index.html">http://www.arcticcbm.org/index.html</a></p> <p>&nbsp;</p> <p>This seminar was part of the Arctic PASSION Online Seminar and Dialogue Series. This series is a tool to communicate project topics, share ideas, plans and results, and initiate an inclusive and proactive dialogue with people from different groups, backgrounds and career levels. It is targeted to Arctic and Indigenous Youth, Early Career Scientists and other interested audiences.</p> <p>&copy; Flyer design by Lisa Grosfeld (APECS/AWI) and photo by Mats&nbsp;Granskog (UiT)</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

The Impact of Satellite Trails on Hubble Space Telescope Observations: satellite classifications

<p>This repository contains the Hubble Space Telescope (HST) observations with satellite classifications,&nbsp;released in the paper &quot;<a href="https://www.nature.com/articles/s41550-023-01903-3"><em>The Impact of Satellite Trails on Hubble Space Telescope Observations</em></a>&quot;&nbsp;(DOI: 10.1038/s41550-023-01903-3<em>).</em></p> <p>This table contains 114 607 individual HST images taken in the last 19 years and publicly released in the&nbsp;<a href="https://hst.esac.esa.int/">eHST</a>&nbsp;archive by 3 October 2021, with satellite trail classifications made with machine learning and citizen science.</p> <p>We processed the individual images&nbsp;by&nbsp;adding&nbsp;the two ACS/WFC (WFC3/UVIS, respectively) apertures side-by-side, without correcting for geometric distortions and without the&nbsp;gap between the two detectors (hence why the satellite trails can appear discontinuous in the images).&nbsp;Note that these are not original images from the eHST archive, and therefore are not meant for other scientific analysis. The dataset&nbsp;contains 3072 HST images with satellites (2.7% of the dataset) and 3228 satellite trails in total.&nbsp;The classifications were visually inspected and vetted by the authors (images are flagged with the &#39;satellite&#39; flag).&nbsp;</p> <p>The table contains the following columns:</p> <ul> <li>observation IDs: both individual exposures (simple_id) and composite images,&nbsp;multiple individual exposures processed&nbsp; and stacked&nbsp;(composite_id);</li> <li>instrument: ACS/WFC or WFC3/UVIS;</li> <li>start time and end time of exposure;</li> <li>exposure duration;&nbsp;</li> <li>right ascension (ra)&nbsp;and declination (dec);</li> <li>&#39;satellite&#39; flag [empty otherwise];</li> <li>no_sat: number of satellites in the image;</li> <li>image URL - URL for&nbsp;the individual HST observations used for satellite classification;</li> <li>additional metadata columns, as available in the&nbsp;<a href="https://hst.esac.esa.int/">eHST</a>&nbsp;archive.</li> </ul> <p>The satellites were classified by volunteers on the <a href="http://www.asteroidhunter.org">Hubble Asteroid Hunter</a>&nbsp;citizen science project and with a machine learning classifier.&nbsp;Please cite the paper (<a href="https://www.nature.com/articles/s41550-023-01903-3">Kruk et al.</a>, <a href="https://www.nature.com/articles/s41550-023-01903-3">https://www.nature.com/articles/s41550-023-01903-3</a>) when using the data in this repository.</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Observations of Autumnal Cooling in a Large Estuary: The Glider Data from Long Island Sound in 2014

<p>This data file is a component of the data used in a paper to appear in the Journal of Geophysical Research in 2023 entitled &quot;Observations of Autumnal Cooling in a Large Estuary&quot; by Amin Ilia, Grant McCardell, Kay Howard-Strobel, and James O&#39;Donnell.&nbsp; The data file contains the measurements from a Slocum Glider (V1) from Webb Research used in the paper. The data is in&nbsp;a MATLAB binary (.mat) file as a structure variable with a field&nbsp;MetaData containing&nbsp;some notes, and data in&nbsp;<br> &nbsp; &nbsp; SampleTimeEST- the date and time of the sample (EST) in MATLAB&#39;s datenum() format<br> &nbsp; &nbsp; Pressure_dBar - the pressure (or&nbsp;equivalently depth in m) that the sample was acquired&nbsp;<br> &nbsp; &nbsp; Temperature_C - the water temperature in Celcius<br> &nbsp; &nbsp; PracticalSalinty - the practical salinty<br> &nbsp; &nbsp; LatitudeDeg- the latitude of the sampling location (deg)<br> &nbsp; &nbsp; LongitudeDeg - the longitude of the sampling location (deg east)</p> <p>The paper&#39;s abstract is:&nbsp;</p> <p>Long Island Sound (LIS) is a large estuary on the eastern United States coast. Seasonal variations&nbsp;<br> in solar insolation and wind create an annual water temperature cycle that impacts circulation&nbsp;<br> and biological processes. The waters warm from March-February until August-October and then&nbsp;<br> begins to cool. Ship surveys show that the vertical temperature structure becomes uniform during&nbsp;<br> this season when the area experiences low air temperatures and high winds. However, there have&nbsp;<br> been no observations that resolve the temporal evolution of the vertical structure of temperature&nbsp;<br> during these cooling periods because conditions inhibit ship operations. We report glider&nbsp;<br> measurements of the vertical structure of water temperatures and salinities from October 22 to&nbsp;<br> November 4, 2014, in eastern LIS. We find that 20m of water can cool at approximately 0.5&nbsp;<br> C/day intervals of cold air and strong winds. We use the data to estimate heat content tendencies&nbsp;<br> and infer surface fluxes. We also estimate the surface heat fluxes using buoy-mounted&nbsp;<br> instruments and the COARE 3.0/3.5 formulae and show they are consistent. Using the buoy&nbsp;<br> fluxes and the products of an operation regional model, we show the agreement with the heat&nbsp;<br> budget fluxes is best when the closest buoy and the model results are used. This suggests that&nbsp;<br> resolving the temporally and spatially structure of the wind field is crucial to the accurate&nbsp;<br> simulation of the temperature variability in LIS. These intervals of very rapid cooling can lead to&nbsp;<br> significant density gradients between LIS and the shallow bays and marshes that surround it.</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Dataset used for the study of "Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at La Réunion Island and the Observatoire de Haute Provence"

<p>Datasets used to create the figures and statistical study in &quot;Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at La R&eacute;union Island and the Observatoire de Haute Provence&quot;&nbsp;&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

MESA histories for "Characterizing Observed Extra Mixing Trends in Red Giants using the Reduced Density Ratio from Thermohaline Models"

<p>This repository provides MESA history files for each of the stellar models in the publication &quot;Characterizing Observed Extra Mixing Trends in Red Giants using the Reduced Density Ratio&nbsp;from Thermohaline Models&quot;. The MESA version used was stable release version 21.12.21. Runs are organized into tarballs according to the thermohaline mixing prescription used:</p> <ul> <li>BGS13 = Brown, Garaud, Stellmach 2013</li> <li>Kipp1e-1 = Kippenhahn with alpha_th = 0.1</li> <li>Kipp2 = Kippenhahn with alpha_th = 2</li> <li>Kipp7e2 = Kippenhahn with alpha_th = 700</li> </ul> <p>and are additionally grouped according to the stellar mass (M = 0.9, 1.1, 1.3, 1.5, 1.7 in units of Msol). Within each tarball is a number of run directories which contain a LOGS/history.data file from the MESA run. The subdirectories in the tarball contain runs at various metallicities; conversion between Z (MESA input) and [Fe/H] (paper reported value) are found in Table 2 of the manuscript.<br> <br> Inlists and information for recreating these MESA simulations can be found online at the paper&#39;s github repository:&nbsp;<a href="https://github.com/afraser3/Empirical-Magnetic-Thermohaline">https://github.com/afraser3/Empirical-Magnetic-Thermohaline</a>&nbsp;(a copy of the code from this Github&nbsp;repository&nbsp;is located in this Zenodo repository in:&nbsp;Empirical-Magnetic-Thermohaline-main.zip)</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Text-fig. 21. Scanning electron microscope (SEM) images of Ibericarpus cuneiformis gen. et sp. nov.; Catefica locality, Portugal. a) Fruiting structure in lateral view showing numerous small, helically arranged wedge-shaped fruitlets each with a slightly differentiated apical stigmatic region (st); no bracts or scars from bracts, perianth or stamens were observed associated with the entire structure or with individual carpels; b) Apical portions of fruitlets showing differentiation of the stigmatic region (st); c) Detail of apical portion of fruitlet showing slightly raised stigmatic region (st) and possible ventral suture. Specimen, Catefica 49-S115851 (holotype, a–c). Scale bars = 300 Μm (a, b), 100 Μm (c). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms

Text-fig. 21. Scanning electron microscope (SEM) images of Ibericarpus cuneiformis gen. et sp. nov.; Catefica locality, Portugal. a) Fruiting structure in lateral view showing numerous small, helically arranged wedge-shaped fruitlets each with a slightly differentiated apical stigmatic region (st); no bracts or scars from bracts, perianth or stamens were observed associated with the entire structure or with individual carpels; b) Apical portions of fruitlets showing differentiation of the stigmatic region (st); c) Detail of apical portion of fruitlet showing slightly raised stigmatic region (st) and possible ventral suture. Specimen, Catefica 49-S115851 (holotype, a–c). Scale bars = 300 Μm (a, b), 100 Μm (c).

opencc-by-4.0Dec 2022View details →
zenodo40/100

Text-fig. 2. Light micrographs of Pinus spp. cuticles prepared with the modified, gentle bleaching procedure. a: Cuticle 1, Pinus sp. 1. Nearly the entire width of the leaf has been preserved. Five parallel rows of stomata are visible. b: Cuticle 1, close-up of (a). Two guard cells are visible around each stoma. c: Cuticle 1, close-up of eight stomata. Two guard cells and eight subsidiary cells are visible around each stoma. d: Cuticle 2, Pinus sp. 2. Some folding of the cuticle occurred during preparation, but many parallel rows of stomata on both sides of a thin, central midvein are evident. e: Cuticle 2, close-up of (d). Pairs of guard cells surround each stoma. f: Cuticle 2, close-up of (e). Subsidiary and epithelial cells can be observed around the stomata. in A Modified, Step-By-Step Procedure For The Gentle Bleaching Of Delicate Fossil Leaf Cuticles

Text-fig. 2. Light micrographs of Pinus spp. cuticles prepared with the modified, gentle bleaching procedure. a: Cuticle 1, Pinus sp. 1. Nearly the entire width of the leaf has been preserved. Five parallel rows of stomata are visible. b: Cuticle 1, close-up of (a). Two guard cells are visible around each stoma. c: Cuticle 1, close-up of eight stomata. Two guard cells and eight subsidiary cells are visible around each stoma. d: Cuticle 2, Pinus sp. 2. Some folding of the cuticle occurred during preparation, but many parallel rows of stomata on both sides of a thin, central midvein are evident. e: Cuticle 2, close-up of (d). Pairs of guard cells surround each stoma. f: Cuticle 2, close-up of (e). Subsidiary and epithelial cells can be observed around the stomata.

opencc-by-4.0Dec 2022View details →
zenodo40/100

200-years ice core bromine reconstruction at Dome C (Antarctica): observational and modelling results

<p>Bromine enrichment (Br<sub>enr</sub>) has been proposed as an ice core proxy for past sea-ice reconstruction. Understanding the processes that influence bromine preservation in the ice is crucial to achieve a reliable interpretation of ice core signals and to potentially relate them to past sea ice variability. Here, we present a 210 years bromine record that sheds light on the main processes controlling bromine preservation in the snow and ice at Dome C, East Antarctic plateau. Using observations alongside a modelling approach, we demonstrate that the bromine signal is preserved at Dome C and it is not affected by the strong variations in ultraviolet radiation reaching the Antarctic plateau due to the stratospheric ozone hole. Based on this, we investigate whether the Dome C Br<sub>enr</sub> record can be used as an effective tracer of past Antarctic sea ice. Due to the limited time window covered by satellite measurements and the low sea-ice variability observed during the last 30 years in East Antarctica, we cannot fully validate Br<sub>enr </sub>as an effective proxy for past sea-ice reconstructions at Dome C.</p> <p>In this database, annual averaged data for Br, Na and Br<sub>enr</sub> for the shallow ice core are provided.</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

Figure A3 in Carcinoecium-Forming Sea Anemone Stylobates calcifer sp. nov. (Cnidaria, Actiniaria, Actiniidae) from the Japanese Deep-Sea Floor: A Taxonomical Description with Its Ecological Observations

Figure A3. Size distribution of the cnidae of Stylobates calcifer sp. nov. (paratype: NSMT-Co 1796). (i) indicates the examined positions of the sea anemone and the corresponding scatter diagrams (A–E). (ii) indicates the measured parameters of the cnidae.

opencc-by-4.0Mar 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

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.