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Fig. 6-7 - 6 in Haliplidae, Noteridae, Dytiscidae (Coleoptera) du Gabon (12 partie). Parc National Moukalaba - Doudou (mission 2014) et la zone au nord en dehors du Parc
Fig. 6-7 - 6) Laccophilus sinuosipenis n. esp. a) Habitus. b) Pénis et paramères en vue dors-lateral gauche. c) Pénis et paramères en vue dorsal. d) Pénis et paramères en vue dors-latéral droite. 7) Laccophilus cianferonii n. esp. a) Habitus. b) Pénis et paramères vu du côté gauche. c) Pénis vu dorsalement, parameres du côté intérieur. d) Apex du pénis en vue dors-frontal. e) Pénis et parameres du côté droite.
List of European Security and Defence Policy / Common Security and Defence Policy Missions 1991-2017
<p>List of European Security and Defence Policy / Common Security and Defence Policy Missions 1991-2017</p>
Webis Search Mission Corpus 2012 (Webis-SMC-12)
<p>The Webis Search Mission Corpus 2012 (Webis-SMC-12) contains 8840 search engine interactions of 127 users. Two human annotators divided these interactions into 2881 logical sessions and 1378 missions. Cases where the annotators did not agree initially were discussed to reach a consensus.</p>
Complementary data for Iqbal et al. (2024): Slopes along Apollo EVAs: Astronaut experience as input for future mission planning
<p>Complementary data for Iqbal et al. (2024): Slopes along Apollo EVAs: Astronaut experience as input for future mission planning</p> <p>Data contains shapefiles that can be used in any geoinformation system (GIS).</p> <p><strong>If you use these data, please cite BOTH the <em>JOURNAL NAME</em> publication and the Zenodo dataset.</strong></p> <p>Iqbal, W., Head III, J. W., van der Bogert, C. H., Frueh, T., Henriksen, M., Bickel, V., Kring, D., Hiesinger, H., Scott, D. R., & Heyer, T. (2024). Slopes along Apollo EVAs: Astronaut experience as input for future mission planning. Acta Astronautica, 223, 184-196. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.actaastro.2024.07.006" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.actaastro.2024.07.006</a></p> <p>Iqbal, W., Head, J. W., van der Bogert, C., Frueh, T., Henriksen, M., Bickel, V., Kring, D., Hiesinger, H., Scott, D. R., & Heyer, T. (2024). Complementary data for Iqbal et al. (2024): Slopes along Apollo EVAs: Astronaut experience as input for future mission planning [Data set]. In Acta Astronautica (Bd. 223, S. 184–196). Zenodo. <a href="https://doi.org/10.5281/zenodo.13790204" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13790204</a></p> <p>--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>Structure</p> <p>-> File "Apollo_Traverses_Iqbal_24" - It includes six subfolders for each landing site that contain the shapefiles of traverses.</p> <p>--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>For further questions contact <a href="mailto:lwueller@uni-muenster.de" rel="noopener noreferrer nofollow">iqbalw@uni-muenster.de</a></p> <p>Wajiha Iqbal, Institut für Planetologie, Universität Münster, Germany.</p>
Tab. 1 in Noteridae, Dytiscidae (Coleoptera) du Gabon (11 ème partie). Parc National Monts Birougou (mission 2016)
<p>Tab. 1 - Liste des espèces recueillies dans les localités visitées. / Lista delle specie raccolte nelle località visitate. / List of the collected species in visited places. 1) Moukimbi. 2) Mambonga. 3) Baposso. 4) Lévinda. 5) Itsiba. 6) Mbigou.</p><table><tbody><tr><th><b>Familles et espèces</b></th><th><b>Localités</b></th></tr></tbody><tbody><tr><th></th><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4</b></td><td><b>5</b></td><td><b>6</b></td></tr><tr><th><b>Noteridae</b></th></tr><tr><th><i>Neohydrocoptus aethiopicus</i> (J. Balfour-Browne, 1961)</th><td>++</td><td></td><td></td><td>++</td><td></td><td>+++</td></tr><tr><th><b><i>Canthydrus lepidus</i> n. esp.</b></th><td>+</td><td></td><td></td><td></td><td></td><td>++</td></tr><tr><th><i>Sternocanthus klarae</i> (Gschwendtner, 1930)</th><td></td><td></td><td></td><td>++</td><td>++</td><td>++</td></tr><tr><th><i>Sternocanthus vadoni</i> (Guignot, 1936)</th><td></td><td></td><td></td><td></td><td></td><td>++</td></tr><tr><th><b>Dytiscidae</b></th></tr><tr><th><i>Methles cribratellus</i> (Fairmaire, 1880)</th><td>++</td><td></td><td></td><td></td><td>+</td><td>+</td></tr><tr><th><i>Derovatellus mocquerysi</i> Régimbart, 1895</th><td>+++</td><td>++</td><td></td><td>+</td><td>+++</td><td></td></tr><tr><th><i>Derovatellus baloghi</i> Biström, 1979</th><td>++</td><td>+</td><td>++</td><td>+++</td><td>+++</td><td>++</td></tr><tr><th><i>Derovatellus wewalkai</i> Biström, 1979</th><td></td><td></td><td></td><td>++</td><td>++</td><td>+</td></tr><tr><th><i>Hyphydrus linnavuorii</i> Biström, 1982</th><td>++</td><td></td><td>++</td><td>+</td><td>+++</td><td></td></tr><tr><th><i>Hyphydrus alfredi</i> Bilardo & Rocchi, 1986</th><td>+</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><i>Hyphydrus microreticulatus</i> Bilardo & Rocchi, 1986</th><td>++</td><td></td><td></td><td></td><td>++</td><td></td></tr><tr><th><i>Hyphydrus opaculus</i> Régimbart, 1895</th><td>+</td><td></td><td>+</td><td></td><td>+++</td><td></td></tr><tr><th><b><i>Hyphydrus simulans</i> n. esp.</b></th><td>++</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><i>Hyphydrus quadrisulcatus</i> Bilardo & Rocchi, 1986</th><td>++</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><i>Hydrovatus reticuliceps</i> Régimbart, 1895</th><td></td><td></td><td></td><td></td><td></td><td>+</td></tr><tr><th><i>Hydrovatus oblongipennis</i> Régimbart, 1895</th><td></td><td></td><td></td><td></td><td></td><td>+</td></tr><tr><th><i>Hydrovatus batekensis</i> Bilardo & Rocchi, 2016</th><td></td><td></td><td></td><td></td><td></td><td>++</td></tr><tr><th><i>Hydrovatus globulosus</i> Gschwendtner, 1943</th><td></td><td></td><td></td><td></td><td></td><td>+</td></tr><tr><th><i>Hydrovatus confossus</i> Guignot, 1958</th><td>++</td><td></td><td></td><td></td><td>+</td><td></td></tr><tr><th><i>Leiodytes hieroglyphicus</i> (Régimbart, 1894)</th><td>+</td><td></td><td>++</td><td>++</td><td>+++</td><td></td></tr><tr><th><i>Africodytes silvestris</i> (Bilardo & Pederzani, 1978)</th><td></td><td></td><td></td><td>+++</td><td>++</td><td></td></tr><tr><th><i>Clypeodytes cribrosus</i> (Schaum, 1864)</th><td>++</td><td></td><td></td><td></td><td>+</td><td>+</td></tr><tr><th><i>Yola frontalis</i> Régimbart, 1906</th><td></td><td>++</td><td>++</td><td></td><td></td><td></td></tr><tr><th><i>Yola marginata</i> Biström, 1983</th><td>++</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><i>Yola darfurensis</i> J. Balfour-Browne, 1947</th><td>+</td><td></td><td>+</td><td></td><td></td><td></td></tr><tr><th><i>Bidessus rossi</i> Omer-Cooper, 1974</th><td>+</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><b><i>Liodessus contractipenis</i> n. esp.</b></th><td></td><td></td><td>+</td><td>+</td><td></td><td></td></tr><tr><th><i>Liodessus legrosi</i> Biström, 1988</th><td></td><td></td><td>+</td><td>++</td><td>+++</td><td></td></tr><tr><th><i>Uvarus satyrus</i> (Guignot, 1939)</th><td>+</td><td></td><td>+</td><td>++</td><td>++</td><td></td></tr><tr><th><i>Uvarus quadrimaculatus</i> Bilardo & Rocchi, 1990</th><td>+</td><td></td><td></td><td>++</td><td></td><td></td></tr><tr><th><i>Laccophilus conjunctus</i> Guignot, 1950</th><td>+</td><td></td><td>++</td><td></td><td>+</td><td>+</td></tr><tr><th><i>Laccophilus bizonatus</i> Régimbart, 1895</th><td></td><td></td><td></td><td>+++</td><td>+++</td><td>++</td></tr><tr><th><i>Laccophilus desintegratus</i> Régimbart, 1895</th><td>+++</td><td>+</td><td>++</td><td>+</td><td>++</td><td></td></tr><tr><th><i>Philaccolus ondoi</i> Bilardo & Rocchi, 1990</th><td></td><td></td><td></td><td>+++</td><td>+++</td><td></td></tr><tr><th><i>Neptosternus nuperus</i> Guignot, 1954</th><td>++</td><td></td><td>++</td><td>++</td><td></td><td></td></tr><tr><th><i>Neptosternus fasciatus</i> Omer-Cooper, 1970</th><td></td><td></td><td>+</td><td></td><td></td><td></td></tr><tr><th><i>Copelatus supplementaris</i> Régimbart, 1895</th><td>++</td><td>+</td><td>++</td><td>+</td><td>+</td><td></td></tr><tr><th></th><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4</b></td><td><b>5</b></td><td><b>6</b></td></tr><tr><th><i>Copelatus anthracinus</i> Régimbart, 1895</th><td>++</td><td>+</td><td>++</td><td></td><td></td><td></td></tr><tr><th><i>Copelatus mocquerysi</i> Régimbart, 1895</th><td>++</td><td>++</td><td>++</td><td></td><td></td><td></td></tr><tr><th><i>Copelatus trilobatus</i> Régimbart, 1895</th><td>++</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><i>Copelatus vigintisulcatus</i> Régimbart, 1895</th><td>+++</td><td>++</td><td>+++</td><td>+++</td><td>+++</td><td></td></tr><tr><th><i>Copelatus variegatus</i> Régimbart, 1895</th><td>++</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><i>Copelatus pantosi</i> Guignot, 1958</th><td></td><td></td><td>+</td><td></td><td>++</td><td></td></tr><tr><th><i>Copelatus onorei</i> Pederzani & Rocchi, 1982</th><td></td><td></td><td></td><td>+</td><td>+++</td><td></td></tr><tr><th><i>Copelatus insidiosus</i> Bilardo & Rocchi, 1995</th><td>+++</td><td>+++</td><td>+++</td><td>+</td><td>+++</td><td></td></tr><tr><th><i>Copelatus tondangoyei</i> Bilardo & Rocchi, 2013</th><td></td><td></td><td></td><td>++</td><td>++</td><td></td></tr><tr><th><i>Copelatus calaquei</i> Bilardo & Rocchi, 2008</th><td>+++</td><td>++</td><td></td><td></td><td>+</td><td></td></tr><tr><th><i>Copelatus pallidus</i> Régimbart, 1895</th><td>+</td><td>+</td><td></td><td></td><td></td><td></td></tr><tr><th><i>Copelatus atrosulcatus</i> Régimbart, 1906</th><td>++</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><b><i>Copelatus apicinotatus</i> n. esp.</b></th><td></td><td></td><td></td><td>+++</td><td>+++</td><td>++</td></tr><tr><th><i>Copelatus burgeoni</i> Gschwendtner, 1930</th><td>+</td><td></td><td></td><td>+</td><td>++</td><td></td></tr><tr><th><i>Copelatus assimilis</i> Régimbart, 1895</th><td>+++</td><td>++</td><td>+</td><td></td><td>+++</td><td></td></tr><tr><th><i>Copelatus curtistriatus</i> Bilardo & Rocchi, 1995</th><td>+++</td><td>++</td><td>+++</td><td>++</td><td>+</td><td></td></tr><tr><th><i>Copelatus ferruginicollis</i> Régimbart, 1895</th><td>++</td><td>+</td><td></td><td></td><td></td><td></td></tr><tr><th><i>Copelatus consimilis</i> Bilardo & Rocchi, 2002</th><td>++</td><td>++</td><td>++</td><td>+</td><td>+</td><td></td></tr><tr><th><b><i>Copelatus birougouensis</i> n. esp.</b></th><td>++</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><i>Hydaticus</i> (<i>Prodaticus</i>) <i>septemlineatus</i> Zimmermann, 1928</th><td>++</td><td></td><td></td><td>+</td><td></td><td></td></tr><tr><th><i>Hydaticus</i> (<i>Prodaticus</i>) <i>fulvosparsus</i> Gschwendtner, 1938</th><td>+</td><td></td><td></td><td>+</td><td>+</td><td></td></tr><tr><th><i>Hydaticus</i> (<i>Prodaticus</i>) <i>severini</i> Régimbart, 1895</th><td>+</td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><i>Hydaticus</i> (<i>Prodaticus</i>) <i>laceratus</i> Régimbart, 1895</th><td>++</td><td>++</td><td></td><td>++</td><td>++</td><td></td></tr><tr><th><i>Hydaticus</i> (<i>Prodaticus</i>) <i>quadriguttatus</i> Régimbart, 1895</th><td>+++</td><td>+</td><td></td><td>++</td><td>++</td><td></td></tr><tr><th><i>Hydaticus</i> (<i>Prodaticus</i>) <i>matruelis</i> Clark, 1864</th><td></td><td></td><td></td><td></td><td>+</td><td></td></tr><tr><th><b><i>Hydaticus</i> (<i>Prodaticus</i>) <i>lepemangoyei</i> n. esp.</b></th><td></td><td></td><td></td><td>+</td><td>++</td><td></td></tr><tr><th><i>Aethionectes apicalis</i> (Boheman, 1848)</th><td>++</td><td></td><td>+</td><td></td><td></td><td></td></tr><tr><th><i>Aethionectes fulvonotatus</i> (Clark, 1864)</th><td>++</td><td></td><td></td><td>++</td><td>+++</td><td>++</td></tr><tr><th><i>Regimbartina pruinosa</i> (Régimbart, 1895)</th><td></td><td>++</td><td></td><td></td><td>+</td><td></td></tr><tr><th><i>Cybister</i> (<i>Melanectes</i>) <i>modestus</i> Sharp, 1882 sensu lato</th><td></td><td></td><td></td><td></td><td>+</td><td></td></tr></tbody></table>
Images for a publication "Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith" by Skog et al.
<p>This archive contains following simulated hyperspectral datacubes for ASPECT (Asteroid Spectral Imager) instrument on ESA Hera mission used in the manuscript:</p> <ul> <li>ASPECT_simulated_data_Vis.zip - ASPECT visible channel datacubes noisless and with simulated instrument noise for three exposure times indicated in the file name.</li> <li>ASPECT_simulated_data_NIR.zip - ASPECT near-infrared channels datacubes noisless and with simulated instrument noise for three exposure times indicated in the file name.</li> <li>ASPECT_simulated_data_Vis_NIR_filtered.zip - Same ASPECT visible and near-infrared channels datacubes filtered with noise filters indicated in the file name. The visible datacubes have designation Vis in file name. The remaining datacubes without channel designation are near-infrared ones.</li> </ul> <p>The recorded scene and imaging distance is indicated in file name. D1 - Didymos asteroid, D2 - Dimorphos asteroid. All datacubes are in Matlab (.mat) format and with single wavelength .png preview included. For details please check associated manuscript.</p>
Dataset for "LOROS: Laboratory Simulations of the Optical RadiOmeter composed of CHromatic Imagers (OROCHI) Experiment of the Martian Moons eXploration (MMX) Mission"
<p>This dataset hosts the image and numerical data analysed and derived in the accompanying Stabbins & Kameda article for the special issue of Progress in Earth and Planetary Science on instrumentation and preparations for the JAXA Martian Moons eXploration (MMX) mission. The paper describes and validates the performance of the Laboratory OROCHI Simulator (LOROS).</p> <p>OROCHI (Optical RadiOmeter composed of CHromatic Imagers) is a multispectral multi-view imaging system for the JAXA MMX spacecraft, that will image Phobos and Deimos across 8 visible and near-infrared spectral channels with unprecedented spatial resolution, recording data that in synergy with the other instruments of the MMX spacecraft and rover will constrain hypotheses on the origin of the Martian moons.</p> <p>LOROS is a laboratory simulator of OROCHI, constructed from commercial off-the-shelf parts.</p> <p>The dataset for the characterisation and validation of LOROS is composed of the following sub-sets:</p> <p>A. Modulation Transfer Function<br>B. Expected Reflectance of Carbonaceous Chondrite & Dark Spectralon<br>C. Radiometric Calibration<br>D. Dark Spectralon Validation</p> <div> <h2>Dataset A: Modulation Transfer Function</h2> This dataset includes the table of results of MTF measurements of the slant-edge target at 5 different random orientations in the range of ~7--10°: <div>- <code>mtf_results_07122023.csv</code></div> <br> <div>and the region-of-interest images, for each orientation and each LOROS channel, used to perform the analysis via the <a href="https://sourceforge.net/p/mtfmapper/home/Home/" target="_blank" rel="noopener">MTF Mapper software</a>:</div> <div>- <code>mtf_measurements_07122023</code></div> <br> <div>The directory tree of measurements, for the <em>n</em>th orientation, is illustrated below. Region-of-interest images are stored under <code>img</code>, and are averaged over 25 repeat images to minimise random noise, have had dark frames subtracted, and have been converted from 12-bit to 8-bit grayscale images for compatibility with the MTF Mapper software. Modulation Transfer Function (MTF) and Spatial Frequency Response (SFR) diagnostics generated by MTF Mapper are stored in the <code>results</code> directory.</div> <div> </div> <div><code>mtf_measurements_07122023</code></div> <div><code>├── mtf_knifeedge_low_07122023_*n*</code></div> <div><code>│ ├── img</code></div> <div><code>│ │ ├── 0_850_img_ave.tif</code></div> <div><code>│ │ ├── 1_475_img_ave.tif</code></div> <div><code>│ │ ├── ...</code></div> <div><code>│ ├── results</code></div> <div><code>│ │ ├── 0_850_img_ave_annotated.jpg</code></div> <div><code>│ │ ├── 0_850_img_ave_edge_mtf_values.txt</code></div> <div><code>│ │ ├── 0_850_img_ave_edge_sfr_values.txt</code></div> <div><code>│ │ ├── 1_475_img_ave_annotated.jpg</code></div> <div><code>│ │ ├── ...</code></div> <div><code>├── mtf_knifeedge_low_07122023_*n+1*</code></div> <div><code>│ ├── img</code></div> <div><code>│ │ ├── ...</code></div> <div> </div> <div>This data constitutes part of <strong>Table 1</strong> and <strong>Figure 2</strong> of the manuscript.</div> <div> <h2>Dataset B: Expected Reflectance of Carbonaceous Chondrite & Dark Spectralon</h2> This dataset includes the high-resolution ($\delta\lambda$=1 nm) reference reflectance spectra of the representative Carbonaceous Chondrite meteorite (<a href="https://westernreflectancelab.com/visor/graph/?results-selection=16136&results-item=16136&results-item=15972&results-item=231&results-item=230&graph=&form-TOTAL_FORMS=1&form-INITIAL_FORMS=0&form-MIN_NUM_FORMS=0&form-MAX_NUM_FORMS=1000&form-0-sample_name=nogoya&form-0-any_field=meteorite&form-0-id=&sort_params=-sample_name&page_selected=1&jump-to-page=" target="_blank" rel="noopener">Nogoya)</a> and the 5% reflectance Spectralon calibration target (<a href="https://www.labsphere.com/wp-content/uploads/2021/09/SpectralonStandards.pdf" target="_blank" rel="noopener">SCT5</a>):<br> <div>- <code>highres_input.csv</code></div> <br> <div>and the resampled spectra of these materials expected for OROCHI and LOROS filter wavelengths:</div> <br> <div>- <code>loros_observation.csv</code></div> <div>- <code>orochi_observation.csv</code></div> <br> <div><code>B_expected_reflectance</code></div> <div><code>├── README.md</code></div> <div><code>├── highres_input.csv</code></div> <div><code>├── loros_observation.csv</code></div> <div><code>└── orochi_observation.csv</code></div> <br> <div>This data constitutes <strong>Table 1</strong> and <strong>Figure 10</strong> of the manuscript.</div> <div> </div> <div> <div> <h2>Dataset C: Radiometric Calibration</h2> This dataset contains the image and derived data for 4 experiments with different illumination conditions for characterising the radiometric response of each of the 8 channels of LOROS.</div> <div><br> <div>This dataset contributes to <strong>Tables 2 - 4</strong> and <strong>Figures 3 - 9</strong> of the manuscript.</div> <br> <div>The final derived metrics are hosted in the spreadsheet:</div> <br> <div>- <code>measured_sensor_properties.csv</code></div> <br> <div>and image data and intermediary derived properties for each experiment are stored in the</div> <br> <div>- <code>experiments</code></div> <br> <div>directory.</div> <br> <div><code>C_radiometric_calibration</code></div> <div><code>├── README.md</code></div> <div><code>├── experiments</code></div> <div><code>│ ├── F*S5L10</code></div> <div><code>│ ├── F*S99L10</code></div> <div><code>│ ├── FGS99L2</code></div> <div><code>│ └── FGS99L10</code></div> <div><code>└── measured_sensor_properties.csv</code></div> <br> <h3><code>experiments</code> Directories</h3> In the directory of each experiment are sub-directories hosting Photon Transfer and Dark Transfer datasets, and a spreadsheet of derived metrics of these.<br> <div> </div> <div><code>C_radiometric_calibration</code></div> <div><code>├── README.md</code></div> <div><code>├── experiments</code></div> <div><code>│ ├── F*S5L10</code></div> <div><code>│ │ ├── dark_transfer_curve</code></div> <div><code>│ │ ├── photo_transfer_curve</code></div> <div><code>│ │ └── F*S5L10_derived_properties.csv</code></div> <div><code>│ └── ...</code></div> <div><code>└── measured_sensor_properties.csv</code></div> <div> </div> </div> <div> </div> <div><strong>Derived Properties</strong><br> <div> </div> <div>The spreadsheet (<code>[experiment]_derived_properties.csv</code>) collecting the properties derived from each experiment holds the following information, that has been extracted from the Photon Transfer and Dark Transfer curves as described in §4.2 of the manuscript:</div> <br> <div><code>camera # The camera number and wavelength</code></div> <div><code>k_adc # Sensitivity (e-/DN)</code></div> <div><code>full_well_e # Saturation Capacity (electrons)</code></div> <div><code>full_well_dn # Saturation Capacity (Digital Numbers)</code></div> <div><code>read_noise_e # Read Noise (electrons)</code></div> <div><code>read_noise_dn # Read Noise (Digital Numbers)</code></div> <div><code>bias_e # Offset (electrons)</code></div> <div><code>bias_dn # Offset (Digital Numbers)</code></div> <div><code>dark_current_e # Dark Current (electrons/second)</code></div> <div><code>dark_current_dn # Dark Current (Digital Numbers/second)</code></div> <div><code>DR # Dynamic Range</code></div> <div><code>lin_min # Minimum Linearity Error</code></div> <div><code>lin_max # Maximum Linearity Error</code></div> <div><code>linearity # Average Linearity Error</code></div> <div><code>snr_max # Maximum Signal-to-Noise Ratio</code></div> <div><code>t_exp_min # Minimum Exposure used in experiment (seconds)</code></div> <div><code>t_exp_max # Maximum Exposure used in experiment (seconds)</code></div> <div><code>expected_response # Expected Response (or 'Digital Flux') for OROCHI^12 at Phobos (Digital Numbers/second)</code></div> <div><code>response # Fitted Response (or 'Digital Flux') (Digital Numbers/second)</code></div> <br> <div>These values are given for each channel of LOROS, as well as the expected values for LOROS in off-the-shelf configuration (with no gain adjustment), LOROS with the gain adjustment, and OROCHI if downsampled to 12-bit resolution digital numbers.</div> <br> <div>This data constitutes <strong>Table 2</strong> of the manuscript.</div> <br> <div><strong>Dark Transfer Curve</strong></div> <br> <div>The <code>dark_transfer_curve</code> directory hosts the derived Dark Transfer Curve data (<code>derived_data</code>) and the source region-of-interest dark image pair data (<code>raw_data</code>) for each LOROS channel.</div> <br> <div><code>dark_transfer_curve</code></div> <div><code>├── derived_data</code></div> <div><code>│ ├── F*S5L10_0_850_dtc.csv</code></div> <div><code>│ ├── F*S5L10_1_475_dtc.csv</code></div> <div><code>│ ├── F*S5L10_2_400_dtc.csv</code></div> <div><code>│ ├── F*S5L10_3_550_dtc.csv</code></div> <div><code>│ ├── F*S5L10_4_725_dtc.csv</code></div> <div><code>│ ├── F*S5L10_5_950_dtc.csv</code></div> <div><code>│ ├── F*S5L10_6_650_dtc.csv</code></div> <div><code>│ └── F*S5L10_7_550_dtc.csv</code></div> <div><code>└── raw_data</code></div> <div><code>├── 0_850</code></div> <div><code>│ ├── 850_10095570us_1_calibration.tif</code></div> <div><code>│ ├── 850_10095570us_2_calibration.tif</code></div> <div><code>│ ├── 850_104us_1_calibration.tif</code></div> <div><code>│ ├── 850_104us_2_calibration.tif</code></div> <div><code>│ ├── ...</code></div> <div><code>├── 1_475</code></div> <div><code>├── 2_400</code></div> <div><code>├── 3_550</code></div> <div><code>├── 4_725</code></div> <div><code>├── 5_950</code></div> <div><code>├── 6_650</code></div> <div><code>├── 7_550</code></div> <div><code>└── camera_config.csv</code></div> <br> <div>The <code>raw_data</code> directory hosts a dark image pair for each exposure time used, and the <code>camera_config.csv</code> spreadsheet gives metadata for the system configuration, including the coordinates and dimensions of the region-of-interest for each channel.</div> <br> <div>The dark transfer curve for each experiment and each channel (<code>[experiment]_[channel]_[wavelength]_dtc</code>) gives the data derived from each raw image data, with the following values:</div> <br> <div><code>exposure # exposure duration (seconds)</code></div> <div><code>n_pix # number of pixels in the region of interest</code></div> <div><code>mean # average value of the region of interest</code></div> <div><code>std_t # total standard deviation of the region of interest</code></div> <div><code>std_rs # read+shot-noise standard deviation, copmuted from the difference of the image pair</code></div> <br> <div>This data constitutes <strong>Figures 5 and 8</strong> of the manuscript.</div> <br> <div><strong>Photon Transfer</strong></div> <br> <div>The <code>photon_transfer_curve</code> directory hosts the derived Photon Transfer Curve data (<code>derived_data</code>) and the source region-of-interest illuminated image pairs and associated dark frame image data (<code>raw_data</code>) for each LOROS channel.</div> <br> <div><code>photo_transfer_curve</code></div> <div><code>├── derived_data</code></div> <div><code>│ ├── F*S5L10_0_850_ptc.csv</code></div> <div><code>│ ├── F*S5L10_1_475_ptc.csv</code></div> <div><code>│ ├── F*S5L10_2_400_ptc.csv</code></div> <div><code>│ ├── F*S5L10_3_550_ptc.csv</code></div> <div><code>│ ├── F*S5L10_4_725_ptc.csv</code></div> <div><code>│ ├── F*S5L10_5_950_ptc.csv</code></div> <div><code>│ ├── F*S5L10_6_650_ptc.csv</code></div> <div><code>│ └── F*S5L10_7_550_ptc.csv</code></div> <div><code>└── raw_data</code></div> <div><code>├── 0_850</code></div> <div><code>│ ├── 850_104us_1_calibration.tif</code></div> <div><code>│ ├── 850_104us_2_calibration.tif</code></div> <div><code>│ ├── 850_104us_d_drk.tif</code></div> <div><code>│ ├── 850_105828us_1_calibration.tif</code></div> <div><code>│ ├── ...</code></div> <div><code>├── 1_475</code></div> <div><code>├── 2_400</code></div> <div><code>├── 3_550</code></div> <div><code>├── 4_725</code></div> <div><code>├── 5_950</code></div> <div><code>├── 6_650</code></div> <div><code>├── 7_550</code></div> <div><code>└── camera_config.csv</code></div> <br> <div>The <code>raw_data</code> directory hosts an image pair and dark frame for each exposure time used, and the <code>camera_config.csv</code> spreadsheet gives metadata for the system configuration, including the coordinates and dimensions of the region-of-interest for each channel.</div> <br> <div>The photon transfer curve for each experiment and each channel (<code>[experiment]_[channel]_[wavelength]_ptc</code>) gives the data derived from each raw image data, with the following values across the region-of-interest:</div> <br> <div><code>exposure # exposure duration (seconds)</code></div> <div><code>n_pix # number of pixels in the region of interest</code></div> <div><code>mean # average value (Digital Numbers)</code></div> <div><code>std_t # total standard deviation (Digital Numbers)</code></div> <div><code>std_rs # read+shot-noise standard deviation (Digital Numbers), computed from the difference of the image pair</code></div> <div><code>d_mean # average value of the dark (Digital Numbers)</code></div> <div><code>d_dsnu # Dark Signal Nonuniformity (Digital Numbers)</code></div> <div><code>std_s # Shot Noise (read noise removed) (Digital Numbers)</code></div> <div><code>k_adc # Sensitivity (note this the point-wise sensitivity, rather than fitted) (electrons/Digital Number)</code></div> <div><code>linearity # Linearity Error (point-wise distance to least-squares linear fit) (%)</code></div> <div><code>snr # Signal-to-Noise Ratio, derived from shot-noise (point-wise)</code></div> <div><code>snr_t # Signal-to-Noise Ratio, derived from total noise (point-wise)</code></div> <div><code>e- # Electron count, derived from sensitivity</code></div> <div><code>e-_noise # Electron shot-noise, derived from sensitivity</code></div> <br> <div>This data constitutes <strong>Figures 3, 4, 6, 7 & 9</strong> of the manuscript.</div> <br> <div><strong>Measured Sensor Properties</strong></div> <br> <div>The <code>measured_sensor_properties.csv</code> spreadsheet collects and averages the following metrics over the 4 experiments performed, to give the values for each channel, along with the expected values for LOROS in off-the-shelf configuration, gain-adjusted LOROS, and OROCHI downsampled to 12-bit resolution.</div> <br> <div><code>SNR Max</code></div> <div><code>Dynamic Range (dB)</code></div> <div><code>Dynamic Range (bits)</code></div> <div><code>Sensitivity (e-/DN)</code></div> <div><code>Saturation Capacity (e-)</code></div> <div><code>Saturation Capacity (DN)</code></div> <div><code>Read Noise (e-)</code></div> <div><code>Read Noise (DN)</code></div> <div><code>Nonlinearity (%)</code></div> <div><code>Dark Signal@30°C (e-/s)</code></div> <div><code>Dark Signal@30°C (DN/s)</code></div> <div><code>Bias (e-)</code></div> <div><code>Bias (DN)</code></div> <div><code>DSNU1288 (DN)</code></div> <div><code>DSNU1288 (e-)</code></div> <div><code>PRNU1288 (%)</code></div> <br> <div>This data constitutes <strong>Table 3</strong> of the manuscript.</div> <div> </div> <div> <h2>Dataset D: Dark Spectralon Validation</h2> This dataset contains the raw image and derived data used to demonstrate the ability of LOROS to measure the spectral reflectance of the 5% reflectance Spectralon calibration target (<a href="https://www.labsphere.com/wp-content/uploads/2021/09/SpectralonStandards.pdf" target="_blank" rel="noopener">SCT5</a>).<br> <div>The image data is hosted in the directory:</div> <br> <div>- <code>raw_data</code></div> <br> <div>and the processed data (e.g. reflectance products) are hosted in the directory:</div> <br> <div>- <code>processed_data</code></div> <br> <div><code>D_dark_spectralon_validation</code></div> <div><code>├── processed_data</code></div> <div><code>│ ├── SCT5</code></div> <div><code>│ └── SCT99</code></div> <div><code>├── raw_data</code></div> <div><code>│ ├── SCT5</code></div> <div><code>│ ├── SCT5_dark</code></div> <div><code>│ ├── SCT99</code></div> <div><code>│ └── SCT99_dark</code></div> <div><code>└── README.md</code></div> <br> <div><strong>Raw Data</strong></div> <br> <div>The raw data directory contains images captured of <code>SCT5</code> and <code>SCT99</code> (99% reflectance white Spectralon), and accompanying dark frames, hosted in the <code>SCT5_dark</code> and <code>SCT99_dark</code> frames respectively.</div> <br> <div>For each channel, 25 repeat images have been captured for the illuminated and dark frames.</div> <br> <div><strong>Processed Data</strong></div> <br> <div>The processed SCT99 and SCT5 datasets differ slightly. Both include:</div> <br> <div><code>├── img</code></div> <div><code>├── rfl</code></div> <div><code>└── rois</code></div> <br> <div>directories, with the SCT99 scene also including a <code>cal</code> directory.</div> <br> <div><code>img</code> hosts a set of <code>context</code> figures, showing the regions of interest selected, <code>fits</code> hosts the floating point mean (<code>ave</code>), standard error (<code>err</code>), standard deviation (<code>std</code>) and single-frame (<code>one</code>), all in units of Digital Number, after dark frame subtraction, flat-fielding and linearity correction. <code>uint8</code> hosts the same data rescaled to 8-bit resolution, for quick-view.</div> <br> <div><code>rfl</code> hosts the same set as <code>img</code>, after conversion to units of reflectance against the results of the SCT99 calibration (see §3.5 of the manuscript).</div> <br> <div><code>rois</code> gives plots of the mean and error of the reflectance spectrum of the region of interest, as well as the Signal-to-Noise Ratio, as well as the data for each region-of-interest (<code>roi_data</code>).</div> <br> <div><code>cal</code> also gives context figures for each channel region-of-interest, as converted to units of reflectance coefficients (1/DN/s).</div> </div> </div> </div> </div> </div>
FIG. 4 in Review of the crabs (Crustacea, Decapoda, Brachyura) from the Miocene of the Mahakamby Island (Mahajanga, NW Madagascar) collected during the Waterlot's Mission (1922)
FIG. 4 — Portuninae, genus and species indeterminate, from the Miocene of Mahakamby Island: A-D, Group 1: A, MNHN.F.A42028, dorsal view;B, MNHN.F.A42029, dorsal view, preserving partially the left merus; C, MNHN.F.A42030, inner surface of the chela, showing the strong median longitudinal ridge; D, same, outer view; E-K, Group 2; E, MNHN.F.A42033, showing the well-preserved right anterolateral spines in dorsal view; F, same, ventral view; G, MNHN.F.A42036, showing the well-preserved anterolateral spines in both anterolateral margins in dorsal view; H, same, ventral view; I, MNHN.F.A42031, showing the well-preserved left anterolateral spines in dorsal view; J, same, ventral view; K, MNHN.F.A42035, showing the well-preserved left anterolateral spine in dorsal view; L-O, Group 3; L, MNHN.F.A42038, showing index with some proximal occlusal teeth in outer view; M, MNHN.F.A42039, showing the vaulted palm in outer view; N, same, inner view; O, MNHN.F.A42040, showing index with some proximal occlusal teeth in outer view.Scale bars:2 cm. Photographs by C.Lemzaouda (MNHN).
FIG. 2 in Review of the crabs (Crustacea, Decapoda, Brachyura) from the Miocene of the Mahakamby Island (Mahajanga, NW Madagascar) collected during the Waterlot's Mission (1922)
FIG. 2 — Reproduction of the original field notes on stratigraphy and faunal assemblage by the Perrier de la Bâthie's Mission and the Waterlot's Mission: A, Stratigraphic section of the Mahakamby Island (letter of Perrier de la Bâthie to the Professor Boule, April, 7th, 1921), the black arrow indicates the bed containing crab remains; B-D, Field notes of the Waterlot's Mission with comments on the cross section of the Mahakamby Island in which the bed containing fossil crabs is recognized (bed n° 7 of Perrier de la Bâthie's sec- tion, see black arrow), this field note arrived with the fossils in the Paris Museum in 1924. All these field notes are deposited in the Palaeontological Library of the Département Histoire de la Terre, Muséum national d'Histoire naturelle, Paris.
FIG. 3 in Review of the crabs (Crustacea, Decapoda, Brachyura) from the Miocene of the Mahakamby Island (Mahajanga, NW Madagascar) collected during the Waterlot's Mission (1922)
FIG. 3 — Reproduction of the original figures of Achelous sp. on the "plate IV" by Collignon & Cottreau (1927) with original numeration: specimens of "figs 15-19 and 22" are lost; specimens of "fig. 20" (MNHN.F.A33477) and "fig. 21" (MNHN.F.A33476) are still housed in the Paris Museum. Scale bars: 2 cm.
FIG. 1 in Review of the crabs (Crustacea, Decapoda, Brachyura) from the Miocene of the Mahakamby Island (Mahajanga, NW Madagascar) collected during the Waterlot's Mission (1922)
FIG. 1. — General map of Madagascar and location of the Mahakamby Island: the black star indicates the area of the small cliffs of Miocene deposits.
Figures Į–Į0. Marimatha adults. Į M. nigrofimbria ♂, 1.4 mi WSW Anthony, Marion Co., Florida 2 M. nigrofimbria ♀, Big Cypress Natute Preserve, Collier Co., Florida 3 M. squala ♂, Madera Canyon 4880', Santa Rita Mts., Santa Cruz Co., Arizona 4 M. squala ♀, Madera Canyon 4880', Santa Rita Mts., Santa Cruz Co., Arizona 5 M. quadrata ♂, Madera Canyon 3800', Santa Rita Mts., Pima Co., Arizona 6 M. quadrata ♀, Concan, Uvalde Co., Texas 7 M. tripuncta ♂, Fuchs Hammock near Homestead, Dade Co., Florida 8 M. tripuncta ♀, Fuchs Hammock near Homestead, Dade Co., Florida 9 M. piscimala ♂, Brown Canyon, Baboquivari Mts., Pima Co., Arizona Į0 M. piscimala ♀, Mission, Hidalgo Co., Texas. in Review of the North American species of Marimatha Walker with descriptions of three new species (Lepidoptera, Noctuidae, Eustrotiinae) and the description of Pseudomarimatha flava (Noctuinae, Elaphriini), a new genus and species confused with Marimatha
Figures Į–Į0. Marimatha adults. Į M. nigrofimbria ♂, 1.4 mi WSW Anthony, Marion Co., Florida 2 M. nigrofimbria ♀, Big Cypress Natute Preserve, Collier Co., Florida 3 M. squala ♂, Madera Canyon 4880', Santa Rita Mts., Santa Cruz Co., Arizona 4 M. squala ♀, Madera Canyon 4880', Santa Rita Mts., Santa Cruz Co., Arizona 5 M. quadrata ♂, Madera Canyon 3800', Santa Rita Mts., Pima Co., Arizona 6 M. quadrata ♀, Concan, Uvalde Co., Texas 7 M. tripuncta ♂, Fuchs Hammock near Homestead, Dade Co., Florida 8 M. tripuncta ♀, Fuchs Hammock near Homestead, Dade Co., Florida 9 M. piscimala ♂, Brown Canyon, Baboquivari Mts., Pima Co., Arizona Į0 M. piscimala ♀, Mission, Hidalgo Co., Texas.
CTD data from leg 5 and thermosalinograph data from legs 5,6,7 of Mission Microbiomes AtlantECO on board SV Tara
<p><strong>Data from the paper "Late summer northwestward Amazon plume pathway under the action of the North Brazil Current rings", Remote Sensing of Environment, Olivier et al., (2024). </strong></p> <p> </p> <p>Thermosalinograph near surface temperature and salinity data from Mission Microbiomes AtlantECO legs 5,6 and 7, from Martinique (France) to Salvador da Bahia (Brazil) in August-September 2021 in a csv or txt format. CTD profiles from the stations effectuated during leg 5 (stations number 35 to 40), in a cnv format. </p> <p>The TSG file is composed of 5 columns: time (Matlab format), longitude (°), latitude (°), SST (°C), SSS (pss).</p> <p>Each CTD file contains one profile, and the corresponding metadata (station number, time, longitude, latitude, units).</p> <p> </p>
Vision and mission statements in pharmaceutical industry: Evidence from content analysis perspectives
<p><strong>Background:</strong> Recently, the growth of pharmaceutical sector in Nigeria are challenged by competitive and dynamic environment. There is a strategic planning process that the organisation needs to use to achieve the pre-determined objectives. This study aimed to determine the vision and mission statements of the pharmaceutical industries which affects their growth and performance outcomes.</p> <p><strong>Methods:</strong> To accomplish this study, a sample of 20 Top Pharmaceutical Companies in Nigeria was analyzed using excel spreadsheet to draw out the vision and mission components. And the list was obtained from Pharmaapproach, Pharmaceutical and Medical Manufacturing Companies in Nigeria as well as InfoGuide Nigeria.</p> <p><strong>Results:</strong> The findings examined that the 20 pharmaceutical firms do have recurring vision and mission statements that are published in their various corporate websites. The industries’ vision statements shows the survival; growth and profitability concern; technology; products and services; markets; philosophy; concern of employees; customers; self-concept and; concern for public image while the mission statement fulfill the components of statement of purpose; customer; products and services; location/market; core technology; concern for growth and profit; philosophy value; self-concept; concern for public image; concern for shareholders and concern for employees.</p> <p><strong>Conclusions:</strong> The study recommends that components of vision and mission statements of pharmaceutical industries have to be consistent, strategically-crafted, well-organized and established. Vision statements have a strategic future plan for an industry and how target goals of the firm will be met. Mission statements, however, is an effectiveness of work done in the industry They determine the daily task that is being carried out, and what direction the firm is heading towards to achieve the specific vision of the industry. It was emphasized that pharmaceutical industries have comprehensive vision and mission statements that helps in achieving their various goals and objectives.</p> <p>___________________________________________________________________________</p> <p><strong>Keywords</strong></p> <p>Competitive Advantage; Mission Statement; Purposes; Strategic Planning; Vision Statement; Products; Services; Competitors</p>
High-Resolution Water Surface Slopes from Multi-Mission Satellite Altimetry
<p><strong>1. Summary</strong>:</p> <p>This dataset contains water surface slopes (WSS) every kilometer along 11 Polish rivers derived from cross-calibrated multi-mission satellite altimetry (<em>Schwatke et al. 2023a</em> (in review). ). The approach to derive WSS is based on a weighted least-squares approach, which is described in detail in <em>Schwatke et al. 2023b</em> (in review).</p> <p><strong>2. Data Formats</strong>:</p> <p>This dataset is provided in netCDF and shapefile formats. Each netCDF file contains the data of a single river and parameters such as river chainage, WSS, WSS error, location, and nearest centerline information from the SWORD database (v1.1, <em>Altenau et al., 2021</em>). The shapefile consists of five files (.cpg, .dbf, .prj, .shp, .shx) containing the data of the 11 Polish rivers. The attributes are identical to the netCDF, but the river name has been added.</p> <p><strong>3. Attribute Description</strong>:</p> <p>The attributes of netCDFs and shapefiles are described in the following list:</p> <ul> <li> <p><strong>river_chainage</strong>: The <em>river chainage</em> describes the distance from the river mouth to the location of each bin along the river (units: km)</p> </li> <li> <p><strong>wss</strong>: Water surface slopes (WSS) at each bin along the river. WSS are set to NaN/NULL for unprocessed lakes/reservoirs or short river segments (units: mm/km).</p> </li> <li> <p><strong>wss_error</strong>: Errors of WSS at each bin along the river. WSS errors are set to NaN/NULL for unprocessed lakes/reservoirs or short river segments (units: mm/km).</p> </li> <li> <p><strong>longitude</strong>: Longitude of the 1 km bins along the river (units: degree).</p> </li> <li> <p><strong>latitude</strong>: Latitude of the 1 km bins along the river (units: degree).</p> </li> <li> <p><strong>centerline_id</strong>: Nearest <em>centerline id </em>extracted from the SWORD database (v1.1, <em>Altenau et al., 2021</em>).</p> </li> <li> <p><strong>node_id</strong>: <em>Node id</em> from the SWORD database (v1.1, <em>Altenau et al., 2021</em>) for the corresponding <em>centerline id</em>.</p> </li> <li> <p><strong>reach_id</strong>: <em>Reach id</em> from the SWORD database (v1.1,<em> Altenau et al., 2021</em>) for the corresponding <em>centerline id</em>.</p> </li> <li> <p><strong>river_name</strong>: The name of the river is only available in the Shapefile.</p> </li> </ul> <p><strong>4. References</strong>:</p> <p><em>Schwatke C., Dettmering D., Passaro M., Hart-Davis M., Scherer D., Müller F. L., Bosch W., Seitz F.: </em><strong>OpenADB: DGFI-TUM`s Open Altimeter Database</strong>. Geoscience Data Journal, 2023a (in Review)</p> <p><em>Schwatke C., Halicki M., Scherer D</em>.: <strong>Generation of high-resolution water surface slopes from multi-mission satellite altimetry</strong>. Water Resources Research, 2023b (in Review)</p> <p><em>Altenau E.H., Pavelsky T.M., Durand M.T., Yang X., Frasson R.P.d.M., Bendezu L.</em>: <strong>SWOT River Database (SWORD) (Version v1)</strong> [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.4917236">https://doi.org/10.5281/zenodo.4917236</a>, 2021</p>
Hyperspectral Mixture Models in the CHIME Mission Implementation for Topsoil Texture Retrieval
<p>This dataset provides the steps of the image analysis techniques used to soil texture classes retrieval related to the paper 'Hyperspectral Mixture Models in the CHIME Mission Implementation for Topsoil Texture Retrieval' in wich the principles of the spectral mixture analyses are used.</p>
Lists of Magnetic Conjunction between FIREBIRD-II and RBSP missions
<p><strong>Magnetic conjunctions between RBSP and FIREBIRD-II satellites</strong></p> <p>The archived csv files contain conjunctions between each FIREBIRD-II CubeSat (FU3, FU4) and RBSP satellite (RBSPA, RBSPB).</p> <p><strong>Conjunction definition</strong></p> <p>We used the T89 magnetic field model with real-time kp to calculate the `startTime` and `endTime` during which the each satellite pair was within `dL` and `dMLT` of each other (in conjunction). We generated files with two sets of `dL` and `dMLT`: 0.5 and 1---both are annotated in the filename by `dLXY` and `dMLTXY`.</p> <p>For example, the `FU3_RBSPA_conjunctions_dL05_dMLT05_final.csv` file contains conjunctions between FU3 and RBSPA defined by `dL < 0.5` and `dMLT < 0.5`.</p> <p>We targeted outer radiation belt conjunctions, and set a minimum L shell of a conjunction to 3.</p> <p><strong>Data availability</strong></p> <p>Given its sparse availability, we only calculated conjunctions when FIREBIRD-II was taking `Context` and `HiRes` data. The `hr` filename suffix contains only conjunctions with `HiRes` data, and filename with no such suffix contain conjunctions during all FIREBIRD campaign s where it took `Context` data.</p> <p><strong>File contents</strong></p> <p>1. `startTime` - The first time when dL and dMLT were within the conjunction threshold.</p> <p>2. `endTime` - The last time when dL and dMLT were within the conjunction threshold.</p> <p>3. `meanL` - The mean L-shell of the conjunction.</p> <p>4. `meanMLT` - The mean MLT of the conjunction. This and meanL columns give you a sense of where the conjunction occured.</p> <p>5. `minMLT` - The minimum MLT separation between FIREBIRD and RBSP. The L-shells intersect in each conjunction (minimum `dL=0`), so `minMLT` represents the `dMLT` at that time. </p> <p>6. `minD [km]` - An experimental value representing the minimum footprint separation at 500 km, in units of km. Both spacecraft were mapped to both hemispheres and the minimum of the two hemispheres taken.</p>
Deconstruction of tropospheric chemical reactivity using aircraft measurements: the Atmospheric Tomography Mission (ATom) data
Open the record for dataset details and reuse information.
Carmel Mission Roof Tile
Tile originally from the Carmel Mission (founded in 1770 by the recently canonized Junipero Serra), painted in the 1920s with an image of the mission by Florence Bugbee Banham. In the collections of the Santa Cruz Museum of Art and History. Source: Objaverse 1.0 / Sketchfab
Treatment of temporal aliasing effects in the context of next generation satellite gravimetry missions
<p><strong>Simulated gravity field solutions</strong> published in:<br> Daras, I. and Pail, R. (2017), <em>Treatment of temporal aliasing effects in the context of next generation satellite gravimetry missions</em>, Journal of Geophysical Research: Solid Earth (in revision)</p> <p>Results relate to the solutions used for generating the Figures of the publication.</p> <p>All gravity field solutions are in <strong>icgem </strong>format. The solutions include the effect of static gravity field model GOCO03s.</p> <p><strong>Filename description </strong>for Figures 3, 4, 6, 8, 10 and 11 (fields appear only if applicable):<br> Retrieval content<br> - AOHIS : Atmosphere, Hydrology, Ocean, Ice and Solid Earth <br> - HIS : Hydrology, Ice and Solid Earth<br> - A : Atmosphere<br> - O : Ocean<br> - H : Hydrology<br> - OTerr : OT error retrieval</p> <p>Strategies for HIS retrieval<br> - str1 : strategy 1<br> - str2 : strategy 2</p> <p>Constellation<br> - asc : alternative constellation</p> <p>Retrieval period<br> - hd : half-daily<br> - 1d : daily<br> - 3d : 3-daily<br> - 11d : 11- daily</p> <p>Noise case<br> - fn : full noise case<br> - un : undersampling noise case<br> - ind : individual parameter noise case (see text)</p> <p>Parameterization method<br> - d120 : nominal 11-day solution up to d/o 120<br> - CoPa.1d10.d120 : CoPa 1/10-11/120<br> - CoPa.1d20.3d30.1d120 : CoPa 1/20-3/30-11/120 (sequential parameterization)</p> <p>Time indexing (for Co-estimated short-term solutions)<br> - 01 : Co-estimated solution refering to epoch 01</p> <p><strong>Filename description</strong> for Figure 7:<br> - icgem : format of gravity field solution<br> - yymmdd : starting epoch of the long-term solution for which the daily solutions were co-estimated <br> (e.g. 960112 : refers to the 11-day solution of the time period 1996/01/12 - 1996/01/22)<br> - dual : 2-pair Bender-type solution (standard for all simulations of the paper)<br> - 20.1.11 : 1-day solutions with d/o 20 spatial resolution resulting from a daily co-parameterization of an 11-day long-term solution<br> - wiese : dummy, refers to the paper of D. Wiese <br> - dd : day of the 11-day period</p>
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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.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.