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zenodo32/100

FIGURE 1 in Substituting time-consuming pencil drawings in arthropod taxonomy using stacks of digital photographs

FIGURE 1. Preparation of permanent slides. a, maceration of appendages on a hot plate removing tissue from the appendages; b, creation of permanent slides using Euparal, arrow points to a cover slip with drop of Euparal, resting to allow the mounting medium to becoming somewhat harder; c, lignin-pink stained distal part of a leg of an amphipod crustacean mounted in Euparal.

opennotspecifiedNov 2006View details →
zenodo32/100

Codes and dataset used in the manuscript entitled "Quantifying time-variant travel time distribution by multi-fidelity model in hillslope under nonstationary hydrologic conditions"

<p>This contains the codes and dataset for the manuscript entitled &quot;Quantifying time-variant travel time distribution by multi-fidelity model in hillslope under nonstationary hydrologic conditions&quot;. Detailed information about the dataset is described in the Readme.txt file.</p>

opencc-by-4.0Dec 2019View details →
zenodo32/100

GISD30: global 30-m impervious surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform

<p>A novel and accurate global 30 m impervious surface dynamic dataset (GISD30) for 1985 to 2020 was produced using the spectral generalization method and time-series Landsat imagery, on the Google Earth Engine cloud-computing platform.</p>

opencc-by-4.0Aug 2021View details →
dryad32/100

Data used in timing is everything: Dichogamy and pollen germinability underlie variation in autonomous selfing among populations

<p><i>Premise of the study:</i> The evolution of multiple floral traits often underlies the transition from outcrossing to selfing. Such traits can influence the ability to self, and the timing at which selfing occurs, which in turn affects the costs of selfing. Species that display variation in autonomous selfing provide an opportunity to dissect the phenotypic changes that contribute to variability in the mating system. </p> <p><i>Methods: </i>In a common garden, we measured dichogamy and herkogamy in 24 populations of the protandrous mixed-mating herb <i>Campanula americana,</i> and related these to autonomous fruit set (autonomy). We then measured the timing of self-pollen deposition and fruit production in populations with high and low autonomy, and determined whether pollen germinability across floral development contributes to variation in autonomy. </p> <p><i>Key Results:</i> Populations that transitioned more rapidly to female phase displayed elevated autonomous selfing, but herkogamy was unassociated with autonomous selfing. Selfing occurred more rapidly in highly-autonomous populations due to greater self-pollen deposition early in female phase. Pollen germinability in low-autonomy populations remained constant across floral development, but in high-autonomy populations it increased after floral anthesis and was highest near the onset of female phase. </p> <p><i>Conclusions</i>:<i> </i>Reduced dichogamy, elevated self-pollen deposition, and higher pollen germination late in male phase contribute to both earlier selfing and greater selfing. These traits vary among populations, likely reflecting past selection on the mating system. While delayed selfing bears fewer fitness costs, the evolution of earlier selfing may be favored if self-pollen availability decreases over floral development.</p>

opencc-zeroAug 2021View details →
dryad32/100

We are what we eat, plus some per mill: Using stable isotopes to estimate diet composition in Gyps vultures over space and time

<p><span><span><span><span><span><span><span><span><span><span><span>1. Dietary studies in birds of prey involve direct observation and examination of food remains at resting and nesting sites. Although these methods accurately identify diet in raptors, they are time consuming, resource intensive and associated with biases that stem from the feeding ecology of raptors like <i>Gyps </i>vultures (<i>Gyps africanus</i> and <i>Gyps rueppelli</i>). Our study set out to estimate diet composition in <i>Gyps </i>vultures informed by stable isotopes that provide a good representation of assimilated diet from carrion resources in local systems. </span></span></span></span></span></span></span></span></span></span></span></p> <p>2. We hypothesized that differences in <i>Gyps </i>vulture diet composition is a function of sampling location, and that these vultures move between Serengeti National Park and Selous Game Reserve to forage. We also, theorized that grazing ungulates are the principal items in <i>Gyps</i> vulture diet. </p> <p><span><span><span><span><span><span><span><span><span><span><span>3. Through a combination of linear and Bayesian models, diet derived from d<sup>13</sup>C in <i>Gyps</i> vultures consisted of grazing herbivores across study areas, with those in Serengeti National Park consuming higher proportions of grazing herbivores (&gt; 87%). d<sup>13</sup>C differences in vulture feather subsets per site did not indicate vulture diet change, and in combination with blood d<sup>13</sup>C, vultures fed largely on grazers for ~159 days before they were sampled in both sites. Similarly, d<sup>15</sup>N values implied that <i>Gyps </i>vultures fed largely on herbivores across space and time. d<sup>34</sup>S ratios separated prey source for vultures between the two sites. d<sup>34</sup>S variation in vultures across sites resulted from differences in baseline (plant) d<sup>34</sup>S values, though it is not possible to match d<sup>34</sup>S to specific locations. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>4. Our findings highlight the relevance of repeated sampling that considers tissues with varying isotopic turnover and emerging Bayesian techniques for dietary studies using stable isotopes. Findings also suggested limited vulture movement between the two local systems. However, more sampling coupled with telemetry is required to fully comprehend this observation and its implications to <i>Gyps</i> vulture ecology and conservation.</span></span></span></span></span></span></span></span></span></span></span></p>

opencc-zeroSep 2021View details →
zenodo32/100

Detecting sub-stellar companions using the stellar pulsation timing method

<p>Video introduction to the poster <a href="http://wwwuser.gwdg.de/~felix.mackebrandt/plato21/">Detecting sub-stellar companions using the stellar pulsation timing method</a></p>

opencc-by-4.0Oct 2021View details →
zenodo32/100

Raw time series of GNSS sites used in the manuscript 'South China plate motion modified by 2008 Mw7.9 great Wenchuan earthquake'

<p>The *.pre.*.neu files are raw position time series before the Wenchuan earthquake (from July 2001 to December 2004)&nbsp;and the *.aft.*.neu files are the raw position time series after the Wenchuan earthquake (from July 2014 to December 2017). The file &#39;breaks&#39; contains the epoches of breaks due to equipment changes or that are indentified visually.</p>

opencc-by-4.0Oct 2022View details →
zenodo32/100

All Data Used in "The effects of Time-Variable Absorption due to Gamma-Ray Bursts In Active Galactic Nuclei Accretion Disks"

<p>This dataset submission contains the data necessary to reproduce any and all results presented in the paper &quot;The effects of Time-Variable Absorption due to Gamma-Ray Bursts In Active Galactic Nuclei Accretion Disks&quot;, set to be submitted for publication in the coming days.</p>

opencc-by-4.0Oct 2022View details →
zenodo32/100

All Data Used in "The effects of Time-Variable Absorption due to Gamma-Ray Bursts In Active Galactic Nuclei Accretion Disks"

<p>These files contain all the data necessary to fully reproduce any and all results presented in the paper &quot;The effects of Time-Variable Absorption due to Gamma-Ray Bursts In Active Galactic Nuclei Accretion Disks&quot;, set to be submitted to MNRAS in the coming days.&nbsp;</p>

opencc-by-4.0Oct 2022View details →
zenodo32/100

Raw time series of GNSS sites used in the manuscript 'South China plate motion modified by 2008 Mw7.9 great Wenchuan earthquake'

<p>The *.pre.*.neu files are raw position time series before the Wenchuan earthquake (from July 2001 to December 2004)&nbsp;and the *.aft.*.neu files are the raw position time series after the Wenchuan earthquake (from July 2014 to December 2017). The file &#39;breaks&#39; contains the epochs of breaks due to equipment changes or that are identified visually.</p>

opencc-by-4.0Oct 2022View details →
zenodo32/100

Derived data for: 'Modelling the Time-Dependent Magnetic Fields that BepiColombo will use to Probe Down into Mercury's Mantle'

<p>Derived data for the manuscript entitled&nbsp;&#39;Modelling the Time-Dependent Magnetic Fields that BepiColombo will use to Probe Down into Mercury&rsquo;s Mantle&#39;.</p>

opencc-by-4.0Oct 2022View details →
zenodo32/100

Supplementary data Quantitative elemental mapping of chondritic meteorites using laser ablation-inductively coupled plasma-time of flight-mass spectrometry (LA-ICP-TOF-MS)

<p>Supplementary data &nbsp;Quantitative elemental mapping of chondritic meteorites using laser ablation-inductively coupled plasma-time of flight-mass spectrometry (LA-ICP-TOF-MS)English</p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

Data for the manuscript "Electronic excitations of the charged nitrogen-vacancy center in diamond obtained using time-independent variational density functional calculations"

<p>This folder contains all the input,&nbsp;output, and geometry&nbsp;files&nbsp;used to produce the results for the manuscript.&nbsp;&nbsp;We included unprocessed&nbsp;data for LDA, PBE,&nbsp;TPSS, and r2SCAN&nbsp;functionals. We also provide a&nbsp;keynote file for figure 1 and a jupyter&nbsp;notebook which we used to make figures 2-4.</p>

opencc-by-4.0Mar 2023View details →
dryad32/100

Data from: Ready to detect a reversal of time's arrow: a psychophysical study using short video clips in daily scenes

<p><span>It is generally believed that time flows in one direction and that a reversal of time's arrow would render the external world nonsensical. We </span><span>evaluated</span><span> our ability to tell the direction of time's arrow in a wide range of dynamic scenes in our daily life by presenting 360 video clips in the correct or incorrect direction</span><span>. </span><span>Participants, who judged the direction in a speeded manner, erred in 39% of trials when a video was played in reverse</span><span>,</span><span> but in </span><span>only </span><span>9% when it was played normally. Due to the bias favouring the "forward" judgement, reaction was generally faster for the forward response. However, </span><span>the</span><span> reaction became paradoxically faster and more synchronous for the detection of reversal in some critical occasions such as forward motion</span><span>, </span><span>free fall, diffusion, division, and addition of materials by hand. Another experiment with a fraction of the video clips revealed that reversal replay of these videos provided instantaneous evidence strong enough to overtake the forward judgment bias. We suggest that our brain is equipped with a system that predicts how the external organisms behave or move in these critical occasions and that the prediction error of the system contributes to the fast "reversal" detection. </span></p>

opencc-zeroMar 2023View details →
zenodo32/100

Source data belonged to "Establishing structure-property linkages for wicking time predictions in porous polymeric membranes using a data-driven approach"

<p>This record contains all the necessary data to obtain the results of the study &quot;Establishing structure-property linkages for wicking time predictions in porous polymeric membranes using a data-driven approach&quot;</p>

opencc-by-4.0Oct 2022View details →
zenodo32/100

Data used for global TEC forecasting for space weather application based on deep learning techniques: a comparative study and considerations for real-time implementation

<p>This dataset contains the measurements of TEC from Global Ionospheric Maps (GIMs), provided by the International GNSS Service (IGS), as the target parameter and the global geomagnetic&nbsp;Kp index as the external input. This data set is composed of samples from 2005 to 2017. The datasets have been curated to obtain the same resolution (2 hs) of the two parameters.</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Datasets supporting the publication: Evaluating night-time light sources and correlation with socio-economic development using high-resolution multi-spectral Jilin-1 satellite imagery of Quito, Ecuador

<p>##################################</p> <p><strong>Datasets supporting the publication:</strong></p> <p><em>Evaluating night-time light sources and correlation with socio-economic development using high-resolution multi-spectral Jilin-1 satellite imagery of Quito, Ecuador.</em></p> <p>International Journal of Remote Sensing. <a href="https://doi.org/10.1080/01431161.2023.2205983">https://doi.org/10.1080/01431161.2023.2205983</a></p> <p>C. Scott Watson<sup>a</sup>*, John R. Elliott<sup>a</sup>, Marco C&oacute;rdova<sup>b</sup>, Jonathan Menoscal<sup>b</sup>, Santiago Bonilla-Bedoya<sup>c</sup></p> <p><em><sup>a</sup>COMET, School of Earth and Environment, University of Leeds, LS2 9JT, UK</em></p> <p><em><sup>b</sup>Facultad Latinoamericana de Ciencias Sociales, FLACSO, Quito, Ecuador</em></p> <p><em><sup>c</sup>Research Center for the Territory and Sustainable Habitat, Universidad Tecnol&oacute;gica Indoam&eacute;rica,Machala y Sabanilla, 170301, Quito, Ecuador</em></p> <p><strong>-Please refer to the publication for details on the production of each dataset.<br> -Please cite the publication and this dataset repository when using the data.</strong></p> <p>##################################</p> <p><strong>Data:</strong></p> <table> <tbody> <tr> <td><strong>File</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>J1_mosaic_max.tif</td> <td>Mosaicked Jilin-1 multi-spectral night-time image of Quito, Ecuador. Acquisition: 8th July 2021 at ~10:30 UTC (05:30 local time)</td> </tr> <tr> <td>corine_landcover_S2_20210705T153621_20210705T154215_T17MQV.tif</td> <td>Land cover classification applied to a Sentinel-2 image (5th July 2021)</td> <td>&nbsp;</td> </tr> <tr> <td>corine_landcover_symbology_qgis.txt</td> <td>Land cover classification symbology for QGIS</td> </tr> <tr> <td>light_type_classification.tif</td> <td>Light type classification: class 1 = LED, class 10 = HPS.</td> </tr> <tr> <td>classified_light_locations.shp</td> <td>Classified light source (point) locations</td> </tr> </tbody> </table>

opencc-by-nc-4.0Mar 2023View details →
dryad32/100

Assessment of targeted enrichment locus capture across time and museums using odonate specimens

<p><span>The use of gDNA isolated from museum specimens for high throughput sequencing, especially targeted sequencing in the context of phylogenetics, is a common practice. Yet, little understanding has been focused on comparing the quality of DNA and the results of sequencing museum DNAs. Dragonflies and damselflies are ubiquitous in freshwater ecosystems and are commonly collected and preserved insects in museum collections hence their use in this study. However, the history of odonate preservation across time and museums have resulted in wide variability in the success of viable DNA extraction, necessitating an assessment of their usefulness in genetic studies. Using Anchored Hybrid Enrichment probes, we sequenced DNA from samples at two museums, 48 from the American Museum of Natural History (AMNH) in NYC, USA, and 46 from the Naturalis Biodiversity Center (RMNH) in Leiden, Netherlands ranging from global collection localities and across a 120-year time span. We recovered at least 4 loci out of an &gt;1000 locus probe set for all samples, with the average capture being ~385 loci. Neither specimen age nor size was a good predictor of locus capture, but recapture rates differed significantly between museums. Samples from the AMNH had lower overall locus capture than the RMNH, perhaps due to differences in specimen storage over time.</span></p>

opencc-zeroMay 2023View details →
zenodo32/100

Fig. 2 in Global metabolome analysis of Dunaliella tertiolecta, Phaeobacter italicus R11 Co-cultures using thermal desorption - Comprehensive two-dimensional gas chromatography - Time-of-flight mass spectrometry (TD-GC×GC-TOFMS)

Fig. 2. Workflow for sample preparation and injection. Culture samples were filtered and dried (A–B). Dried filter papers were placed in clean vials (C) and then resuspended in methanol (D) before being extracted with Chloroform (E). Water was added (F) and subsequently, the chloroform layer was aliquotted into GC vials (G) for further sample preparation. Extracts were dried (H) and then derivatized using a two-step methoximation/silylation process to yield derivatized extracts (I). 9-μL aliquots of derivatized extracts were automatically transferred to microvial inserts in thermal desorption tubes for injection (J) using an initial solvent vent step to remove excess solvent and derivatisation reagents (K), followed by thermal desorption to a cooled PTV inlet and subsequent splitless injection to the GC × GC-TOFMS system. Non-volatile residues from the extracts remained in the microvial insert for subsequent disposal (L). See text for details.

opennotspecifiedMar 2022View details →
zenodo32/100

Fig. 4 in Global metabolome analysis of Dunaliella tertiolecta, Phaeobacter italicus R11 Co-cultures using thermal desorption - Comprehensive two-dimensional gas chromatography - Time-of-flight mass spectrometry (TD-GC×GC-TOFMS)

Fig. 4. From left to right: results of principal component analysis of the raw data (autoscaled), similarly scaled data normalised to class-specific TUPA, and the normalised, scaled data using the selected features from the FS-CR routine. Quality control samples were not included in the feature selection routine, and are displayed as filled icons connected to their corresponding replicate with a straight line, following projection into the optimised principal component space. Confidence ellipses were drawn about each sample class for a confidence interval of 0.95. Note the convention: DUN refers to D. tertiolecta samples, CO refers to co-culture samples, and BAC refers to P. italicus R11 samples.

opennotspecifiedMar 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.

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

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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.