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Table 4 in A comparison of image and observer based aerial surveys of narwhal
<p><i>Table 4.</i> Summary statistics of survey results and narwhal abundance estimates from surveys conducted in Melville Bay, West Greenland from 25 to 30 August 2014. Off-effort sightings by the aerial observers were only included in modeling of the detection function. Strata without narwhal sightings were excluded from this table (<i>i.e.</i>, south and northwest). Abundance estimates are corrected for availability bias with <i>â</i> (0) being 0.257 for the aerial observer sightings and 0.22 for the image sightings. Aerial observer sightings were truncated at 1,300 m. CV values are given in parentheses. Ind. = individuals.</p><table><tbody><tr><th></th><th></th><th></th><th></th><th></th><th>Uncorrected</th><th></th><th></th><th>Abundance</th></tr></tbody><tbody><tr><th></th><td></td><td></td><td>Encounter</td><td>Mean</td><td>density</td><td>Uncorrected</td><td>Uncorrected</td><td>of individuals</td></tr><tr><th>Platform</th><td>Stratum</td><td>Encounter rate (groups/km)</td><td>rate (ind./km)</td><td>group size</td><td>of groups (groups/km2)</td><td>density of ind. (ind./km2)</td><td>abundance of individuals</td><td>corrected for availability bias</td></tr><tr><th>Aerial</th><td>Northeast</td><td>0.032 (0.86)</td><td>0.084 (0.78)</td><td>2.6 (0.20)</td><td>0.046 (0.93)</td><td>0.115 (0.90)</td><td>300.7 (0.89)</td><td>1,171.0 (0.90)</td></tr><tr><th>observers</th><td>Central</td><td>0.068 (0.50)</td><td>0.261(0.53)</td><td>3.8 (0.11)</td><td>0.046 (0.53)</td><td>0.177 (0.52)</td><td>366.5 (0.52)</td><td>1,426.1 (0.53)</td></tr><tr><th></th><td>All strata</td><td>0.053 (0.41)</td><td>0.187(0.44)</td><td>3.5 (0.10)</td><td>0.046 (0.58)</td><td>0.142 (0.50)</td><td>667.2 (0.50)</td><td>2,596.1 (0.51)</td></tr><tr><th>Images</th><td>Northeast</td><td>0.049 (0.94)</td><td>0.105(0.92)</td><td>2.1 (0.91)</td><td>0.049 (0.94)</td><td>0.105 (0.92)</td><td>217.8 (0.92)</td><td>990 (0.93)</td></tr><tr><th></th><td>Central</td><td>0.059 (0.70)</td><td>0.130(0.61)</td><td>2.2 (0.71)</td><td>0.059 (0.70)</td><td>0.130 (0.61)</td><td>340.0 (0.61)</td><td>1,545.5 (0.61)</td></tr><tr><th></th><td>All strata</td><td>0.055 (0.55)</td><td>0.119(0.50)</td><td>2.2 (0.78)</td><td>0.055 (0.55)</td><td>0.119 (0.50)</td><td>557.8 (0.50)</td><td>2,535.5 (0.51)</td></tr></tbody></table>
Table 2 in A comparison of image and observer based aerial surveys of narwhal
<p><i>Table 2.</i> Summary of sightings by image analysts and/or aerial observers, with and without truncation at 500 m. Where both aerial observer pairs had the same sighting with different group size or perpendicular distance estimates, an averaged value was used.</p><table><tbody><tr><th></th><th></th><th></th><th>Only</th><th></th><th>Sighted by</th><th>Sighted by</th></tr></tbody><tbody><tr><th></th><td>Sighted by</td><td></td><td>sight by</td><td>Only</td><td>image</td><td>image analyst</td></tr><tr><th></th><td>image</td><td>Sighted by</td><td>image</td><td>sighted by</td><td>analyst</td><td>and/or</td></tr><tr><th></th><td>analyst</td><td>observer</td><td>analyst</td><td>observer</td><td>and observer</td><td>observer</td></tr><tr><th>No truncation</th></tr><tr><th>No. of groups</th><td>62</td><td>63</td><td>34</td><td>35</td><td>28</td><td>97</td></tr><tr><th>No. of animals</th><td>135</td><td>227</td><td>62</td><td>124</td><td>88</td><td>274</td></tr><tr><th>Average group size</th><td>2.2</td><td>3.6</td><td>1.8</td><td>3.5</td><td>3.1</td><td>2.8</td></tr><tr><th>Average distance</th><td>227</td><td>580</td><td>237</td><td>839</td><td>329</td><td>454</td></tr><tr><th>Truncation = 500 m</th><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>No. of groups</th><td>62</td><td>36</td><td>34</td><td>8</td><td>28</td><td>70</td></tr><tr><th>No. of animals</th><td>135</td><td>126</td><td>62</td><td>24</td><td>88</td><td>173</td></tr><tr><th>Average group size</th><td>2.2</td><td>3.5</td><td>1.8</td><td>3.0</td><td>3.1</td><td>2.5</td></tr><tr><th>Average distance</th><td>227</td><td>269</td><td>237</td><td>329</td><td>234</td><td>247</td></tr></tbody></table>
Table 3 in A comparison of image and observer based aerial surveys of narwhal
<p><i>Table 3.</i> AIC values after fitting explanatory variables to the DS and MR models. The final model chosen, Model 1, is given in bold and ΔAIC indicates the difference between the chosen model and the specified model. HN indicates a half-normal form and HR indicates a hazard-rate form for the DS model. The explanatory variables are perpendicular distance (D), group size (S), group size as a factor with three classes (1, 2–5, and <i>≥</i> 6 narwhals) (S3), Beaufort (BF), side of airplane (SP), observer pair (O), and time to next observation <i>≤</i> 10 s (T). Appendix S3 provides an overview of all the models that were developed.</p><table><tbody><tr><th>Model</th><th>DS model</th><th>MR model</th><th>No. of parameters</th><th>AIC</th><th>ΔAIC</th></tr></tbody><tbody><tr><th><b>1</b></th><td><b>HN: D + BF</b></td><td><b>D + O + S</b> <b>3</b></td><td><b>5</b></td><td><b>1,330.91</b></td><td><b>0</b></td></tr><tr><th>2</th><td>HN: D + BF</td><td>D + O + S</td><td>5</td><td>1,332.81</td><td>1.90</td></tr><tr><th>3</th><td>HN: D + BF + S3</td><td>D + O + T</td><td>6</td><td>1,333.10</td><td>2.19</td></tr><tr><th>4</th><td>HN: D + BF</td><td>D + O</td><td>4</td><td>1,333.50</td><td>2.59</td></tr><tr><th>5</th><td>HN: D + BF + S3</td><td>D + O</td><td>5</td><td>1,335.08</td><td>4.17</td></tr><tr><th>6</th><td>HR: D + BF</td><td>D + O + S3</td><td>5</td><td>1,336.97</td><td>6.06</td></tr></tbody></table>
Table 1 in A comparison of image and observer based aerial surveys of narwhal
<p><i>Table 1.</i> Summary of survey effort in the four strata during aerial surveys conducted in Melville Bay from 25 to 30 August 2014.</p><table><tbody><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>Aerial observers</th></tr></tbody><tbody><tr><th></th><td></td><td></td><td></td><td></td><td></td><td>Image</td><td></td><td>Aerial observers</td><td>(truncated 500 m)</td></tr><tr><th></th><td></td><td>Planned/</td><td>Length of</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th></th><td>Area</td><td>completed</td><td>surveyed</td><td>Analyzed</td><td>No. of</td><td>No.</td><td>Ave. group</td><td>No. of</td><td>No.</td><td>Ave. group</td><td>No. of</td><td>No.</td><td>Ave. group</td></tr><tr><th>Stratum</th><td>(km2)</td><td>transects (no.)</td><td>transects (km)</td><td>images a</td><td>sightings</td><td>of ind.b</td><td>size <i>n</i> (CV)</td><td>sightings</td><td>of ind.</td><td>size <i>n</i> (CV)</td><td>sightings</td><td>of ind.</td><td>size <i>n</i> (CV)</td></tr><tr><th>NW</th><td>6,376</td><td>5 / 4</td><td>226</td><td>2,066</td><td>0</td><td>0</td><td>0 (0)</td><td>0</td><td>0</td><td>0 (0)</td><td>0</td><td>0</td><td>0 (0)</td></tr><tr><th>NE</th><td>2,076</td><td>11 / 12</td><td>468</td><td>6,572</td><td>23</td><td>49</td><td>2.1 (0.95)</td><td>15</td><td>39</td><td>2.6 (0.77)</td><td>13</td><td>32.5</td><td>2.5 (0.76)</td></tr><tr><th>C</th><td>2,621</td><td>9 / 18</td><td>663</td><td>8,193</td><td>39</td><td>86</td><td>2.2 (0.73)</td><td>48</td><td>188</td><td>3.9 (0.69)</td><td>23</td><td>93.5</td><td>4.1 (0.61)</td></tr><tr><th>S</th><td>3,748</td><td>13 / 10</td><td>575</td><td>4,105</td><td>0</td><td>0</td><td>0 (0)</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th>All strata</th><td>14,821</td><td>38 / 44</td><td>1,932</td><td>20,936</td><td>62</td><td>135</td><td>2.2 (0.77)</td><td>63</td><td>227</td><td>3.6 (0.72)</td><td>36</td><td>126</td><td>3.5 (0.69)</td></tr></tbody></table><p><sup>a</sup> Including 180 off-effort images that were not used in the analysis. <sup>b</sup> Ind. = individuals.</p>
Observed data, predictions and uncertainty associated with the updated distribution of clay minerals in the World Ocean
<p>Sparase observed data for various clay mineral species are .csv file format.</p> <p>Predictions and uncertainty for four seafloor clay mineral species (relative percentages, Kaolinite, Illite, Smectite, Chlorite) are generated via geospatial machine learning (GML). Methodology is outlined in "The updated distribution of clay mineral in the World Ocean"<span>. These files are in net-CDF file format. Files are cell-centered. Further, latitudes and longitudes of grid cells are denoted in the variables of the .nc files.</span></p>
Data for "Observation of microscopic confinement dynamics by a tunable topological θ-angle"
<p>This dataset is for the research article "Observation of microscopic confinement dynamics by a tunable topological θ-angle". A preprint version is available on arXiv with the identifier <a title="Observation of microscopic confinement dynamics by a tunable topological &theta;-angle" href="https://arxiv.org/abs/2306.11794" target="_blank" rel="noopener">arXiv:2306.11794</a>. </p> <p>Note that Figure 1 in the main text and Extended Data Figures S2 and S3 in the Methods section show the mapping relationship and initial state preparation, respectively, and do not contain original data. These details are stated in the corresponding files.</p>
Database on chemotherapy-induced cognitive impairment and its long-term development in patients with breast cancer - results from the observational CICARO Study
<p>Raw data and edited data on the observational CICARO-study on chemotherapy-induced cognitive impairment and its long-term development in patients with breast cancer</p>
Microscale heat stress observations in Ghent
<p>This dataset is part of the scientific paper: [Not yet published].</p> <p>The dataset contains observational data collected during a heat stress measurement campaign at the university campus Sterre in the urban fringe of Ghent during the summer of 2023.</p> <p>The campaign consists of a device-intercomparison measurement with all devices close to each other from 27 May to 1 June 2023 and the actual measurement campaign with the devices in various micro-environments during a heat wave from 9 June to 15 June 2023. The monitoring devices consist of weather stations (Campbell, HOBO, and VLINDER(02)) and consumer-grade portable devices (AT-HTS01, abbreviated with A and the corresponding device number).</p> <p>The measurement frequency varies from 2.5 s to 5 min, however, all data are aggregated to 15-minute averages. Basic quality control is conducted, during which inappropriate repetitive data and extreme outliers are removed. Gaps were introduced when the devices were known to malfunction, such as when they were covered for protection against rainfall, had fallen, or lacked electricity for active ventilation.</p> <p>An explanation of each parameter used in the datasets can be found below:</p> <ul> <li>datetime: The date and time in the format yyyy-mm-dd hh:mm:ss+02:00 (UTC+2, local time Belgian summer).</li> <li>Tap: Air temperature measured in a passively ventilated radiation shield (°C).</li> <li>Taa: Air temperature measured in an actively ventilated radiation shield (°C).</li> <li>Tg: Globe temperature (°C).</li> <li>RH: Relative humidity (%).</li> <li>V: Horizontal wind speed (m/s).</li> <li>SWR: Shortwave radiation (W/m2).</li> <li>P: Surface pressure (Pa).</li> <li>Tw_by_device: Wet bulb temperature given by the measurement device (°C).</li> <li>WBGT_by_device: Wet bulb globe temperature given by the measurement device (°C).</li> <li>x, y: Locationcoordinates (EPSG31370).</li> </ul>
Data for "Direct observation of the neural computations underlying a single decision"
<p>This repository contains the data required to reproduce all figures and results of the paper "Direct observation of the neural computations underlying a single decision" by Natalie A Steinemann*, Gabriel M Stine*, Eric M Trautmann, Ariel Zylberberg, Daniel M Wolpert & Michael N Shadlen (https://doi.org/10.7554/eLife.90859.1). The associated code is deposited on Github (https://github.com/Nat-Stein/LIP_single_trial_decision_variable). </p>
IOCAS Western Pacific Moored Current Meter Observation Dataset
<p>This dataset contains current meter measurements from ICOAS mooring array in the Western Pacific. The current meters were deployed on moorings at 130°E meridian on 8.5°N, 11°N, 12.5°N, 15°N. The temporal resolution is monthly for 8.5°N mooring and annually for others.</p>
Table I in Revisiting Potter Cove, King George Island, Antarctica, 12 years later: new observations of marine benthic diatoms
<p>Table I: (continued)</p><table><tbody><tr><th>Species</th><th>ZDDƎ</th><th>ZDIs</th></tr></tbody><tbody><tr><th><i>Grammatophora angulosa</i> Ehrenberg</th><td>r</td><td>–</td></tr><tr><th><i>Grammatophora angulosa</i> var. <i>islandica</i> (Ehrenberg)</th><td>r</td><td>–</td></tr><tr><th>Grunow</th></tr><tr><th><i>Gyrosigma arcuatum</i> (Donkin) Sterrenburg</th><td>–</td><td>r</td></tr><tr><th><b><i>Gyrosigma fasciola</i> (Ehrenberg) Grif</b> fi th <i>et</i> Henfrey</th><td>c</td><td>c</td></tr><tr><th><b><i>Gyrosigma</i> cf. <i>obscurum</i> (W. Smith) Grif</b> fi th <i>et</i> Henfrey</th><td>–</td><td>c</td></tr><tr><th><i>Halamphora holsatica</i> (Hustedt) Levkov e</th><td>vr</td><td>–</td></tr><tr><th><i>Hippodonta hungarica</i> (Grunow) Lange-Bertalot, Met-</th><td>r</td><td>–</td></tr><tr><th>zeltin <i>et</i> Witkowski</th></tr><tr><th><i>Licmophora abbreviata</i> Agardh</th><td>f</td><td>–</td></tr><tr><th><i>Licmophora antarctica</i> Carlson</th><td>f</td><td>f</td></tr><tr><th><i>Licmophora belgicae</i> Peragallo</th><td>–</td><td>f</td></tr><tr><th><i>Licmophora decora</i> Heiden</th><td>r</td><td>–</td></tr><tr><th><i>Licmophora gracilis</i> (Ehrenberg) Grunow</th><td>f</td><td>f</td></tr><tr><th><i>Licmophora luxuriosa</i> Heiden</th><td>–</td><td>r</td></tr><tr><th><i>Lyrella hennedyi</i> (W. Smith) Stickle <i>et</i> D. G. Mann</th><td>–</td><td>r</td></tr><tr><th><i>Melosira adeliae</i> Manguin</th><td>r</td><td>r</td></tr><tr><th><i>Melosira sol</i> (Ehrenberg) Kützing</th><td>–</td><td>f</td></tr><tr><th><i>Minidiscus trioculatus</i> (Taylor) Hasle</th><td>r</td><td>–</td></tr><tr><th><i>Navicula</i> cf. <i>cancellata</i> Donkin</th><td>c</td><td>f</td></tr><tr><th><i>Navicula directa</i> (Smith) Brébisson</th><td>f</td><td>c</td></tr><tr><th><i>Navicula</i> cf. <i>perminuta</i> Grunow</th><td>c</td><td><b>c</b></td></tr><tr><th><b><i>Navicula</i> sp.</b> 1</th><td>vr</td><td><b>r</b></td></tr><tr><th><b><i>Navicula</i> sp.</b> 2</th><td>–</td><td>r</td></tr><tr><th><i>Nitzschia angularis</i> W. Smith</th><td>–</td><td>f</td></tr><tr><th><i>Nitzschia</i> cf. <i>australis</i> (Peragallo) A. Mann</th><td>vr</td><td>r</td></tr><tr><th><i>Nitzschia</i> cf. <i>gelida</i> Cleve <i>et</i> Grunow</th><td>–</td><td>r</td></tr><tr><th><i>Nitzschia hybrida</i> Grunow</th><td>r</td><td>c</td></tr><tr><th><i>Nitzschia mitchelliana</i> Greenleaf</th><td>–</td><td>r</td></tr><tr><th><i>Nitzschia</i> cf. <i>obtusa</i> W. Smith</th><td>–</td><td>r</td></tr><tr><th><i>Nitzschia pellucida</i> Grunow</th><td>r</td><td>–</td></tr><tr><th><i>Nitzschia sigma</i> (Kützing) W. Smith</th><td>–</td><td>r</td></tr><tr><th><i>Nitzschia tubicola</i> Grunow</th><td>r</td><td><b>–</b></td></tr><tr><th><b><i>Nitzschia</i> sp.</b> 1</th><td>r</td><td>–</td></tr><tr><th><i>Odontella litigiosa</i> (Van Heurck) Hoban</th><td>f</td><td>c</td></tr><tr><th><i>Paralia sulcata</i> (Ehrenberg) Cleve</th><td>–</td><td>vr</td></tr><tr><th><i>Parlibellus delognei</i> (Van Heurck) E. J. Cox</th><td>r</td><td>–</td></tr><tr><th><i>Parlibellus crucicula</i> (W. Smith) Witkowski, Lange-</th><td>–</td><td>f</td></tr><tr><th><b>Bertalot <i>et</i> Metzeltin</b></th></tr><tr><th><b><i>Parlibellus</i> sp.</b> 1</th><td>vr</td><td><b>–</b></td></tr><tr><th><b><i>Parlibellus</i> sp.</b> 2</th><td>r</td><td>–</td></tr><tr><th><i>Petroneis plagiostoma</i> (Grunow) D. G. Mann</th><td>c</td><td><b>c</b></td></tr><tr><th><b><i>Petroneis</i> sp.</b> 1</th><td>r</td><td><b>c</b></td></tr><tr><th><b><i>Petroneis</i> sp.</b> 2</th><td>r</td><td>–</td></tr><tr><th><i>Pinnularia quadratarea</i> (A. Schmidt) Cleve</th><td>f</td><td>c</td></tr><tr><th><i>Planothidium lanceolatum</i> (Brébisson <i>ex</i> Kützing)</th><td>r</td><td>–</td></tr><tr><th>Lange-Bertalot</th></tr><tr><th><i>Planothidium vicentii</i> Manguin</th><td>vr</td><td>–</td></tr><tr><th><i>Pseudogomphonema kamtschaticum</i> (Grunow) Medlin</th><td>f</td><td>f</td></tr><tr><th><i>Pleurosigma diversestriatum</i> Meister</th><td>–</td><td>r</td></tr><tr><th><i>Pleurosigma eudon</i> var. <i>kerguelensis</i> Heiden <i>et</i> Kolbe</th><td>vr</td><td>vr</td></tr><tr><th><i>Pleurosigma strigosum</i> W. Smith</th><td>–</td><td>c</td></tr><tr><th><i>Podosira stelliger</i> (Bailey) A. Mann</th><td>–</td><td>vr</td></tr><tr><th><i>Porosira glacialis</i> (Grunow) JØrgensen</th><td>–</td><td>f</td></tr><tr><th><i>Rhabdonema arcuatum</i> (Lyngbye) Kützing</th><td>–</td><td>r</td></tr><tr><th><i>Rhoicosphenia abbreviata</i> (Agardh) Lange-Bertalot</th><td>r</td><td><b>–</b></td></tr></tbody></table>
Table I in Revisiting Potter Cove, King George Island, Antarctica, 12 years later: new observations of marine benthic diatoms
<p>Table I: (continued)</p><table><tbody><tr><th>Species</th><th>ZDDƎ</th><th>ZDIs</th></tr></tbody><tbody><tr><th><i>Staurophora</i> sp.</th><td>–</td><td>r</td></tr><tr><th><i>Stellarima microtrias</i> (Ehrenberg) Hasle <i>et</i> Sims</th><td>–</td><td>f</td></tr><tr><th><i>Surirella fastuosa</i> (Ehrenberg) Ehrenberg</th><td>–</td><td>vr</td></tr><tr><th><i>Surirella</i> sp.</th><td>–</td><td>r</td></tr><tr><th><i>Synedra kerguelensis</i> Heiden</th><td>r</td><td>–</td></tr><tr><th><i>Synedropsis fragilis</i> (Manguin) Hasle, Medlin <i>et</i></th><td>r</td><td>–</td></tr><tr><th><b>Syvertsen</b></th></tr><tr><th><i>Synedropsis recta</i> Hasle, Medlin <i>et</i> Syvertsen</th><td>r</td><td>–</td></tr><tr><th><i>Synedropsis</i> sp.</th><td>–</td><td>f</td></tr><tr><th><i>Tetramphora rhombica</i> (Kitton) Stepanek <i>et</i> Kociolek f</th><td>vr</td><td>–</td></tr><tr><th><i>Thalassionema nitzschioides</i> (Grunow) Mereschkowsky</th><td>r</td><td>r</td></tr><tr><th><i>Thalassiosira eccentrica</i> (Ehrenberg) Cleve</th><td>–</td><td>r</td></tr><tr><th><i>Thalassiosira gracilis</i> (Karsten) Hustedt</th><td>r</td><td>f</td></tr><tr><th><i>Thalassiosira lentiginosa</i> (Janisch) Fryxell</th><td>vr</td><td>–</td></tr><tr><th><i>Thalassiosira maculata</i> Fryxell <i>et</i> Johansen</th><td>vr</td><td>–</td></tr><tr><th><i>Thalassiosira oliveriana</i> (O’ Meara) Makarova <i>et</i></th><td>–</td><td>r</td></tr><tr><th><b>Nikolajev</b></th></tr><tr><th><i>Thalassiosira ritscheri</i> (Hustedt) Hasle</th><td>vr</td><td>–</td></tr><tr><th><i>Thalassiosira tumida</i> (Janisch) Hasle</th><td>r</td><td>–</td></tr><tr><th><i>Thalassiosira</i> sp.</th><td>–</td><td>r</td></tr><tr><th><i>Trachyneis aspera</i> (Ehrenberg) Cleve</th><td>f</td><td>f</td></tr><tr><th><i>Trachyneis</i> cf. <i>robusta</i> Petit</th><td>r</td><td>–</td></tr><tr><th><i>Triceratium favus</i> Ehrenberg</th><td>–</td><td>r</td></tr><tr><th><i>Trigonium arcticum</i> (Brightwell) Cleve</th><td>–</td><td><b>r</b></td></tr></tbody></table><p><b>vr, very rare, few cells found; r, rare,</b> 1 <b>–</b> 5 <b>%; f, frequent,</b> 5 <b>–</b> 20 <b>%; c, common,></b> 20 <b>%; –, not observed. <sup>a</sup> Reported as <i>Amphora</i> cf. <i>fogediana</i> (Grunow) Lange-Bertalot in Al-Handal and Wulff (</b>2008 <b>a). <sup>b</sup> Reported as</b> <b><i>Caloneis</i> sp.</b> 1 <b>in Al-Handal and Wulff (</b>2008 <b>a). <sup>c</sup> Reported as <i>Cocconeis schuettii</i> Van Heurck in Al-Handal and Wulff (</b>2008 <b>a). <sup>d</sup> Reported as <i>Achnanthidium exigua</i> (Grunow) Lange-Bertalot in Al-Handal and Wulff (</b>2008 <b>a). <sup>e</sup> Reported as <i>Amphora holsatica</i> Husted in Al-Handal and Wulff (</b>2008 <b>a). <sup>f</sup> Reported as <i>Amphora rhombica</i> Kitton <i>ex</i> A. Schmidt in Al-Handal and Wulff (</b>2008 <b>a).</b></p>
Table I in Revisiting Potter Cove, King George Island, Antarctica, 12 years later: new observations of marine benthic diatoms
<p><b>Table I: Comparison of the occurrence of marine benthic diatoms in Potter Cove, King George Island, Antarctica in</b> 2003 <b>(Al-Handal and Wulff</b> 2008 <b>b) and</b> 2015 (present study).</p><table><tbody><tr><th>Species</th><th>ZDDƎ</th><th>ZDIs</th></tr></tbody><tbody><tr><th><i>Achnanthes bongrainii</i> (M. Peragallo) A. Mann</th><td>r</td><td>–</td></tr><tr><th><i>Achnanthes</i> cf. <i>groenlandica</i> (Cleve) Grunow</th><td>–</td><td>f</td></tr><tr><th><i>Actinocyclus actinochilus</i> (Ehrenberg) Simonsen</th><td>r</td><td>c</td></tr><tr><th><i>Actinocyclus curvatulus</i> Janisch</th><td>r</td><td>–</td></tr><tr><th><i>Amphora</i> cf. <i>eximia</i> Carter a</th><td>r</td><td>–</td></tr><tr><th><i>Amphora gourdonii</i> M. Peragallo</th><td>–</td><td>f</td></tr><tr><th><i>Amphora marina</i> W. Smith</th><td>f</td><td>f</td></tr><tr><th><i>Amphora</i> cf. <i>laevissima</i> Gregory</th><td>r</td><td>–</td></tr><tr><th><i>Amphora spectabilis</i> Gregory</th><td>r</td><td><b>–</b></td></tr><tr><th><b><i>Amphora</i> sp.</b> 1</th><td>–</td><td><b>r</b></td></tr><tr><th><b><i>Amphora</i> sp.</b> 2</th><td>–</td><td>r</td></tr><tr><th><i>Asteromphalus parvulus</i> Karsten</th><td>–</td><td>r</td></tr><tr><th><i>Biremis ambigua</i> (Cleve) D. G. Mann <i>Caloneis</i> sp. b</th><td>– vr</td><td>f r</td></tr><tr><th><i>Campyloneis frenguellii</i> Riaux-Gobin <i>et</i> Guerrero</th><td>–</td><td>f</td></tr><tr><th><i>Cocconeis antiqua</i> Tempère <i>et</i> Brun c</th><td>f</td><td>f</td></tr><tr><th><i>Cocconeis costata</i> Gregory</th><td>r</td><td>–</td></tr><tr><th><i>Cocconeis costata</i> var. <i>antarctica</i> Manguin</th><td>r</td><td>–</td></tr><tr><th><i>Cocconeis costata</i> var. <i>hexagona</i> Grunow</th><td>–</td><td>r</td></tr><tr><th><i>Cocconeis dallmannii</i> Al-Handal, Riaux-Gobin, Romero</th><td>–</td><td><b>r</b></td></tr><tr><th><b><i>et</i> Wulff</b></th></tr><tr><th><i>Cocconeis fasciolata</i> (Ehrenberg) Brown</th><td>r</td><td>f</td></tr><tr><th><i>Cocconeis hauniensis</i> Witkowski</th><td>vr</td><td>–</td></tr><tr><th><i>Cocconeis</i> cf. <i>imperatrix</i> A. Schmidt</th><td>r</td><td>c</td></tr><tr><th><i>Cocconeis matsii</i> (Al-Handal, Riaux-Gobin <i>et</i> A.Wulff)</th><td>–</td><td>f</td></tr><tr><th><b>Riaux-Gobin, Compère, Romero <i>et</i> Williams</b></th></tr><tr><th><i>Cocconeis melchioroides</i> Al-Handal, Riaux-Gobin,</th><td>–</td><td>r</td></tr><tr><th><b>Romero <i>et</i> Wulff</b></th></tr><tr><th><i>Cocconeis moronensis</i> A. Schmidt</th><td>vr</td><td>–</td></tr><tr><th><i>Cocconeis pinnata</i> Gregory <i>ex</i> Greville</th><td>r</td><td>–</td></tr><tr><th><i>Cocconeis scutellum</i> Ehrenberg</th><td>vr</td><td><b>–</b></td></tr><tr><th><b><i>Cocconeis</i> sp.</b> 1</th><td>vr</td><td><b>–</b></td></tr><tr><th><b><i>Cocconeis</i> sp.</b> 2</th><td>vr</td><td>–</td></tr><tr><th><b><i>Corethron pennatum</i> (Grunow) Osten</b> fi eld</th><td>r</td><td>f</td></tr><tr><th><i>Coscinodiscus asteromphalus</i> Ehrenberg</th><td>vr</td><td>–</td></tr><tr><th><i>Coscinodiscus radiatus</i> Ehrenberg</th><td>–</td><td>vr</td></tr><tr><th><i>Cylindrotheca closterium</i> (Ehrenberg) Reimann <i>et</i> Lewin</th><td>–</td><td>r</td></tr><tr><th><i>Diploneis smithii</i> (Brébisson) Cleve</th><td>r</td><td>r</td></tr><tr><th><i>Diploneis weiss</i> fl ogii (Schmidt) Cleve</th><td>–</td><td>vr</td></tr><tr><th><i>Diploneis</i> sp.</th><td>–</td><td>r</td></tr><tr><th><i>Entomoneis gigantea</i> Grunow</th><td>vr</td><td>r</td></tr><tr><th><i>Entomoneis kjellmanii</i> (Cleve) Poulin <i>et</i> Cardinal</th><td>f</td><td>r</td></tr><tr><th><i>Entomoneis paludosa</i> (W. Smith) Reimer</th><td>f</td><td>c</td></tr><tr><th><i>Entopyla ocellata</i> (Arnott) Grunow</th><td>r</td><td>f</td></tr><tr><th><i>Eucampia antarctica</i> (Castracane) Mangin</th><td>vr</td><td>–</td></tr><tr><th><i>Eunotia praerupta</i> Ehrenberg</th><td>vr</td><td>–</td></tr><tr><th><i>Fogedia</i> cf. <i>giffeniana</i> (Foged) Witkowski, Lange-</th><td>r</td><td>–</td></tr><tr><th><b>Bertalot, Metzeltin <i>et</i> Bafana</b></th></tr><tr><th><i>Fragilaria striatula</i> Lyngbye</th><td>–</td><td>f</td></tr><tr><th><i>Fragilariopsis cylindrus</i> (Grunow <i>ex</i> Cleve) Helmcke <i>et</i></th><td>–</td><td>r</td></tr><tr><th><b>Krieger</b></th></tr><tr><th><i>Fragilariopsis rhombica</i> (O’ Meara) Hustedt</th><td>r</td><td>–</td></tr><tr><th><i>Gogorevia parexigua</i> (Metzeltin <i>et</i> Lange-Bertalot) Kulikovskiy <i>et</i> Kociolek d</th><td>r</td><td><b>–</b></td></tr></tbody></table>
Venus Express IMA solar wind data for VeRa radio science observations
<p>The Venus Express (VEX) Analyser of Space Plasmas and Energetic Atoms (ASPERA-4)<br>ion mass spectrometer (IMA) observed the the pristine solar wind parameters<br>at Venus between 2006 and 2014. Details can be found in<br>Barabash et al. (2007) Planetary and Space Science, Vol. 55 (12), pp. 1772-1792<br>The Analyser of Space Plasmas and Energetic Atoms (ASPERA-4) for the <br>Venus Express mission.</p> <p>This file is based on the VEX_IMA_SW_NVP_20060101.cef data file provided<br>by M. Fränz (MPI for Solar System Research, Goettingen, Germany) and contains only those ASPERA-4<br>solar wind observations used in the publication Peter et al. (2024) Icarus<br>The variability of the topside ionospheres of Venus and Mars<br>as seen by recent radio science observations (Appendix A4 Fig. 2).</p> <p>Data are based on hourly average IMA spectra obtained when VEX was at larger distance than<br>1 Venus radius from nominal bow shock (Martinecz 2009, PhD). Density and total velocity<br>are obtained by integration over the IMA_EXTRA proton spectrum. Dynamic pressure<br>by product of density and velocity. This file contains only orbits used for VERA analyis.</p>
Borehole observation, in-situ stress and breakout simulation datasets for BS34 in the Xinchang site, Beishan region
<p>Two datasets are available here as supplementary materials for the study of borehole breakout development.</p> <p>For the dataset 'Borehole Data.zip', it contains the natural fractures, breakouts, and drilling-induced tensile fractues, and mini-frac test results obtained from borehole BS34 in the Xinchang site, Beishan region. For the dataset 'Simulation Data.zip', it includes the simulated stress evolution associated with breakout development in the vicinity of a pre-existing frature, and simulated breakout geometry using a finite element model.</p>
Data for: A computational pipeline to observe the flexibility and dynamics of (plant) cytochrome P450 binding sites
<p>Binding site flexibility and dynamics strongly affect the ability of proteins to accommodate substrates and inhibitors. The significance of these properties is particularly pronounced for proteins that are inherently flexible, such as cytochrome P450 enzymes (CYPs). While the research on human CYPs provides detailed knowledge on both structural and functional level, such analyses are still lacking for their plant counterparts. This study aims to bridge this gap. Firstly, we use molecular dynamics (MD) simulations to capture the full conformational ensemble for a certain plant CYP. Subsequently, we developed and applied a comprehensive methodology to analyse a number of binding site properties - size, flexibility, shape, hydrophobicity, and accessibility - using the fpocket and mdpocket packages on MD-generated trajectories. This led to a first categorization of 15 chosen plant CYPs based on their binding site's (dis)similarities. The workflow was tested and verified on human CYPs 1A2, 2A6, and 3A4 as their binding site characteristics are well known. In addition to confirming known binding site properties, we identified and named previously unseen binding site channels for CYPs 1A2 and 2A6. This study gives initial insights into the largely uncharted fields plant CYP substrate specificity and facilitates a more precise understanding of their largely unknown specific biological functions. It offers new insights into the structural and functional dynamics of plant CYPs, which may facilitate a more accurate understanding of the fate of agrochemicals or the biotechnological design and exploitation of enzymes with specific functions. Additionally, it serves as a reference for future structural-functional analyses of CYP enzymes across various biological kingdoms.</p>
REsolved ALMA and SMA Observations of Nearby Stars (REASONS): Observation Logs
<p>Observation Details for millimetre-wavelength data gathered and modelled as part of the REsolved ALMA and SMA Observations of Nearby Stars (REASONS) paper (same DOI as this table). For the processed data and modelling results, see https://doi.org/10.5281/zenodo.12583396.</p> <ul> <li>Table A.1 refers to targets observed as part of the REASONS <em>Observational</em> ALMA program</li> <li>Table A.2 refers to targets observed as part of the REASONS <em>Observational</em> SMA program</li> <li>Table A.3 refers to targets previously observed whose raw data was retrieved from the ALMA archive and reanalysed as part of REASONS.</li> </ul>
How to assess similarities and differences between mantle circulation models and Earth using disparate independent observations: Data and Analysis
<p>Dataset includes simulation output produced by a TERRA simulation for `How to assess similarities and differences between mantle circulation models and Earth using disparate independent observations'. </p> <p> </p> <h3><strong>Description of data file contents</strong></h3> <ul> <li><strong>NC*comp.tar.gz</strong> - compressed archives containing NetCDF files (file-per-process) with TERRA grid data including temperature, velocity, interpolated bulk composition, denisty, and voscosity fields. Can be read using <a title="terratools" href="https://github.com/mantle-convection-constrained/terratools" target="_blank" rel="noopener">terratools</a>. *dump number</li> <li><strong>NC_seis_037.tar.gz</strong> - compressed archive containing NetCDF files (file-per-process) with predicted seismic properties at the resolution of the TERRA grid generated from the present day state of the simulated mantle, including elastic and anelastic Vs and Vp, bulk sound velocity, and predicted density from mineral phyiscs tables. Can be read using <a title="terratools" href="https://github.com/mantle-convection-constrained/terratools" target="_blank" rel="noopener">terratools</a>.</li> <li><strong>NC_hpes_037.tar.gz</strong> - compressed archive containing NetCDF files (file-per-process) with interpolated abundances at the resolution of the TERRA grid for isotopes including the heat-producing elements ^40^K, ^232^Th, ^235^U and ^238^U. Can be read using <a title="terratools" href="https://github.com/mantle-convection-constrained/terratools" target="_blank" rel="noopener">terratools</a>.</li> <li><strong>P_files_037.tar.gz</strong> - compressed archive of TERRA P-files (particle files).</li> <li><strong>C_files_037.tar.gz</strong> - compressed archive of TERRA C-files (grid state files) - together with the P-files describe the full present day state of the simulation. </li> <li><strong>seis_filtered_037.tar.gz</strong> - compressed archive (file-per-layer) with reparameterised and seismically filtered (against S40RTS) present day Vs field.</li> <li><strong>seis_tables.tar.gz</strong> - compressed archive contianing lookup tables of seismic properties for the 3 principal lithologies assumed in the TERRA simulation (harzburgite, lherzolite and basaltic crust).</li> <li><strong>density_037.sph</strong> - Spherical harmonic coefficients for the density field in format to be read by the <a title="propagator" href="https://zenodo.org/records/12696774" target="_blank" rel="noopener">propagator matrix code.</a></li> <li><strong>plumes.pkl, ridges.pkl</strong> - Files containing tracer particle information for particles associated with plumes and ridges. </li> <li><strong>plumes_ridges.py</strong> - Python script containing example code for reading and plotting plumes.pkl and ridges.pkl files. </li> <li><strong>ptcls_rdgs_plms.py, interrogate_particles.py</strong> - Python script and module containing required functions for carrying out post processing routine generating the plumes.pkl and ridges.pkl files. Requires <a title="terratools" href="https://github.com/mantle-convection-constrained/terratools" target="_blank" rel="noopener">terratools</a>.</li> <li><strong>hst.dat </strong>- Time series of key simulation properties including mantle temperature profile used for calcualting CMB heat flux. </li> <li><strong>terra, interra</strong> - TERRA executable and input parameter file.</li> <li><strong>pyflowng.zip</strong> - Compressed directory containing version of the `pyflowng` code used in this work.</li> <li><strong>mode_splitting_methods.zip</strong> - Compressed directory contianing synthetic splitting function predictions and maps.</li> </ul> <p> </p> <h3><strong>Dump Numbers</strong></h3> <p>Below is a table of dump numbers (final three digits of file names) and the corresponding model times.</p> <table> <tbody> <tr> <td><strong>Dump number </strong></td> <td><strong>Model time (Ma)</strong></td> </tr> <tr> <td>037</td> <td>0 (present day)</td> </tr> <tr> <td>027</td> <td>10</td> </tr> <tr> <td>026</td> <td>20</td> </tr> <tr> <td>025</td> <td>30</td> </tr> <tr> <td>024</td> <td>40</td> </tr> <tr> <td>023</td> <td>50</td> </tr> <tr> <td>022</td> <td>60</td> </tr> <tr> <td>021</td> <td>70 </td> </tr> <tr> <td>020</td> <td>80</td> </tr> <tr> <td>019</td> <td>90</td> </tr> <tr> <td>018</td> <td>100</td> </tr> </tbody> </table>
radar observations and WRF simulations of Typhoon Yagi (2024)
<p>This data set contains radar observations and WRF modal simulations (with Thompson and WDM6 microphysics schemes) of super Typhoon Yagi (2024).</p>
Additional tables: Obliquities of exoplanet host stars. Nineteen new, updated measurements for the sample of 205 measurements and observed trends.
<p>Here we provide some additional tables as supporting material to Knudstrup et al. (2024).</p> <p>The tables are given as .tex files and can be compiled by including the additional files (.bib, .cls, etc.).</p> <p><strong>mcmc_post.tex</strong> contains a selection of the posteriors resulting from the MCMCs we carried out in Appendix A of Knudstrup et al. (2024).</p> <p><strong>literature.tex</strong> contains extensions to Tables A1 and A2 of Albrecht et al. (2022), which we have used for our analyses in Section 4 of Knudstrup et al. (2024).</p> <p><strong>dfm_post.tex</strong> contains the posteriors from the different runs presented in Section 4.1 of Knudstrup et al. (2024).</p> <p><strong>rvs.tex</strong> contains an example of the format for the radial velocities used in Knudstrup et al. (2024), which are available at CDS <a title="RVs" href="https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/690/A379" target="_blank" rel="noopener">here</a>.</p> <p> </p> <h2>Update v3:</h2> <p>Added .csv files for the extensions to Tables A1 (<strong>planets.csv</strong>) and A2 (<strong>stars.csv</strong>) of Albrecht et al. (2022).</p> <p> </p> <p><strong>References:</strong></p> <div> <div> <div> <p>Albrecht, S. H., Dawson, R. I., & Winn, J. N. 2022, PASP, 134, 082001</p> <p>Knudstrup, E., Albrecht, S. H., Winn, J. N., et al., 2024, A&A, 690, A379</p> </div> </div> </div>
ScienceDex guides
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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.
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DANDI Archive for NWB datasets
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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.