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569 results for “APRIL”
Kingsbarns April 2021
<p>PASS sample recorded in Kingsbarns, Scotland on April 9th 2021.</p>
FIGURE 6 A–F in Ptyctimous mites (Acari, Oribatida) from the Joint Russian-Vietnamese Biological Expedition (October 2013 – April 2014)
FIGURE 6 A–F. Apoplophora minuscula Niedbała, 2013: A, prodorsum, dorsal view; B, prodorsum, lateral view; C, opisthosoma, lateral view; D, ventral side of opisthosoma. Arphthicarus parasentus Niedbała, 2000: E, anterior part of notogaster, lateral view. Atropacarus (Hoplophorella) stilifer (Hammer, 1961): F, anterior part of notogaster, lateral view.
FIGURE 4 A–H in Ptyctimous mites (Acari, Oribatida) from the Joint Russian-Vietnamese Biological Expedition (October 2013 – April 2014)
FIGURE 4 A–H. Hoplophthiracarus clavatus Niedbała sp. nov.: A, prodorsum, dorsal view; B, prodorsum, lateral view; C, opisthosoma, lateral view; D, mentum of subcapitulum; E, left genitoaggenital plate: F, left anoadanal plate; G, trochanter and femur of leg I; H, tibia of leg IV.
FIGURE 3 A–D in Ptyctimous mites (Acari, Oribatida) from the Joint Russian-Vietnamese Biological Expedition (October 2013 – April 2014)
FIGURE 3 A–D. Acrotritia paragranulata Niedbała sp. nov.: A, prodorsum, dorsal view; B, prodorsum, lateral view; C, opisthosoma, lateral view; D, left genitoaggenital plate.
FIGURE 2 A–D in Ptyctimous mites (Acari, Oribatida) from the Joint Russian-Vietnamese Biological Expedition (October 2013 – April 2014)
FIGURE 2 A–D. Euphthiracarus (Parapocsia) medius Niedbała sp. nov.: A, prodorsum, dorsal view; B, prodorsum, lateral view; C, opisthosoma, lateral view; D, left genitoaggenital and anoadanal plates.
FIGURE 1 A–F in Ptyctimous mites (Acari, Oribatida) from the Joint Russian-Vietnamese Biological Expedition (October 2013 – April 2014)
FIGURE 1 A–F. Euphthiracarus (Euphthiracarus) quasitakahashii Niedbała sp. nov.: A, prodorsum, dorsal view; B, prodorsum, lateral view; C, opisthosoma, lateral view; D, mentum of subcapitulum; E, left genitoaggenital plate; F, anoadanal region.
Figure 3. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981
Figure 3. - An example of a campus sampling point, indicating as "pic1" in Fig. 2.
Figure 6. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981
Figure 6. - An example of a campus sampling point, indicating as "pic4" in Fig. 2.
Figure 5. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981
Figure 5. - An example of a campus sampling point, indicating as "pic3" in Fig. 2.
Supplementary file pwt: taxa data from Black flies (Diptera: Simuliidae) of Turkish Thrace, with a new record for Turkey - Biodiversity Data Journal 3: e4834 (22 April 2015) https://doi.org/10.3897/BDJ.3.e4834
taxa data
Figure 4. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981
Figure 4. - An example of a campus sampling point, indicating as "pic2" in Fig. 2.
Figure 2. from Luzonichthys seaver, a new species of Anthiinae (Perciformes, Serranidae) from Pohnpei, Micronesia - Biodiversity Data Journal 3: e4902 (27 April 2015) https://doi.org/10.3897/BDJ.3.e4902
Figure 2. - Luzonichthys earlei, from the Hawaiian Islands. Photo: John E. Randall.
Figure 1. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981
Figure 1. - Locations of the Komaba Campus and six reference sites in Tokyo, Japan.
Figure 1. from Black flies (Diptera: Simuliidae) of Turkish Thrace, with a new record for Turkey - Biodiversity Data Journal 3: e4834 (22 April 2015) https://doi.org/10.3897/BDJ.3.e4834
Figure 1. - Map of collecting sites for black flies in Turkish Thrace. Suppl. material 1.
Sea ice bulk density estimates during the MOSAiC freezing season from October 2019 to April 2020
<h2><strong><em>MOSAiC: the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition.</em></strong></h2> <p>Assuming hydrostatic equilibrium, we integrated and adjusted sea ice thickness and snow depth data from an IMB array (comprising 15 buoys), high-resolution along-track freeboard data from airborne laser scanning (ALS) and the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) measurements, as well as snow bulk density data from snow pits, to estimate the ice bulk density (IBD) within the MOSAiC DN (defined as the area within 50 km of Polarstern) during the MOSAiC freezing season from late October 2019 to late April 2020 (<strong>Regional buoy sites</strong>). Additionally, we also provided core-based IBD data from the MOSAiC Main Coring Sites (MCS), derived using the weighing method (<strong>MCS-FYI </strong>and <strong>MCS-SYI</strong>). Due to the challenges in reconciling spatially non-overlapping observations, we implemented two alternative approaches—<strong>Regional Case 1</strong> and <strong>Regional Case 2</strong>—to further upscale the hydrostatic equilibrium-based IBD retrievals within the MOSAiC DN. </p> <h2><em><strong>Variable Details:</strong></em></h2> <p><em><strong>Note that all density results are in kilograms per cubic metre.</strong></em></p> <blockquote> <p><strong>[Time]: </strong>covering the period from 5 October 2019 to 30 April 2020 in the format yyyyMMdd.</p> <p><strong>[Longitude] & [Latitude]</strong>: characterizing the daily position for the MOSAiC Central Observatory (CO).</p> </blockquote> <p> </p> <blockquote> <p><strong>[Reg_buoy_DN]: </strong>Estimated mean sea ice bulk density at the buoy siteswithin a radius of ~50 km from CO (DN scale).</p> <p><strong>[Reg_buoy_DN_Unc1]: </strong>Uncertainty of <strong>[Reg_buoy_DN]</strong> resulting from the input parameters, calculated using the Gaussian error propagation method.</p> <p><strong>[Reg_buoy_DN_Unc2]: </strong>Uncertainty of <strong>[Reg_buoy_DN]</strong> resulting from the introduced empirical adjustment coefficient, characterised using the mean absolute difference of multiple freeboard estimates.</p> </blockquote> <p> </p> <blockquote> <p><strong>[Reg_buoy_Lsite]: </strong>Estimated mean sea ice bulk density at the buoy sites within a radius of ~25 km from CO (Lsite scale).</p> <p><strong>[Reg_buoy_Lsite_Unc1]: </strong>Uncertainty of <strong>[Reg_buoy_Lsite]</strong> resulting from the input parameters, calculated using the Gaussian error propagation method.</p> <p><strong>[Reg_buoy_Lsite_Unc2]: </strong>Uncertainty of <strong>[Reg_buoy_Lsite]</strong> resulting from the introduced empirical adjustment coefficient, characterized using the mean absolute difference of multiple freeboard estimates.</p> </blockquote> <p> </p> <blockquote> <p><strong>[Reg_buoy_DL]: </strong>Mean value of <strong>[Reg_buoy_DN]</strong> and <strong>[Reg_buoy_Lsite]</strong>, representing regional buoy estimates of IBD within the MOSAiC DN.</p> <p><strong>[Reg_buoy_DL_Unc1]: </strong>Uncertainty of <strong>[Reg_buoy_DL]</strong> resulting from the input parameters, calculated using the Gaussian error propagation method.</p> <p><strong>[Reg_buoy_DL_Unc2]: </strong>Uncertainty of <strong>[Reg_buoy_DL] </strong>resulting from the introduced empirical adjustment coefficient, characterized using the mean absolute difference of multiple freeboard estimates.</p> </blockquote> <p> </p> <blockquote> <p><strong>[Reg_case1_DN]: </strong>Mean IBD value for typical ice conditions at the DN scale, calculated using the integration of multi-source observations.</p> <p><strong>[Reg_case2_DN]: </strong>Mean IBD value for typical ice conditions at the DN scale, calculated using initial values from large-scale observations and trend extrapolation.</p> </blockquote> <p> </p> <blockquote> <p><strong>[Loc_MCS_FYI]: </strong>Local-scale core-based bulk density derived from the main first-year coring sites (MCS-FYI) during MOSAiC.</p> <p><strong>[Loc_MCS_SYI]: </strong>Local-scale core-based bulk density derived from the main second-year coring sites (MCS-SYI) during MOSAiC.</p> <p>The density of these ice cores was measured in a freezing laboratory at an ambient temperature of –15 °C using the hydrostatic weighing method, achieving a relatively low uncertainty of <strong>only 0.2%</strong> (Pustogvar and Kulyakhtin, 2016).</p> <p>Pustogvar, A. and Kulyakhtin, A.: Sea ice density measurements. Methods and uncertainties, Cold Regions Science and Technology, 131, 46-52, https://doi.org/10.1016/j.coldregions.2016.09.001, 2016.</p> </blockquote> <p> </p> <h2><em><strong>Relevant datasets:</strong></em></h2> <p><em><strong>Sea ice mass balance buoys (IMBs): sea ice thickness and snow depth</strong></em></p> <blockquote> <p>SIMBA buoy measurements are available from PANGAEA: https://doi.org/10.1594/PANGAEA.938244.</p> <p>SIMB buoy measurements are available from the Arctic Data Center: https://doi.org/10.18739/A20Z70Z01.</p> <p>Lei, R., Cheng, B., Hoppmann, M., and Zuo, G.: Snow depth and sea ice thickness derived from the measurements of SIMBA buoys deployed in the Arctic Ocean during the Legs 1a, 1, and 3 of the MOSAiC campaign in 2019-2020, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.938244, 2021.</p> <p>Perovich, D., Raphael, I., Moore, R., Clemens-Sewall, D., Polashenski, C., and Planck, C.: Measurements of ice mass balance and temperature from autonomous Seasonal Ice Mass Balance buoys in the Arctic Ocean, 2019-2020, Arctic Data Center [data set], https://doi.org/10.18739/A20Z70Z01, 2022.</p> </blockquote> <p> </p> <p><em><strong>Airborne laser scanning (ALS): sea ice total freeboard (sea ice freeboard + snow depth)</strong></em></p> <blockquote> <p>Airborne laser scanning measurements during MOSAiC are available from PANGAEA: https://doi.org/10.1594/PANGAEA.950896.</p> <p>Hutter, N., Hendricks, S., Jutila, A., Birnbaum, G., von Albedyll, L., Ricker, R., and Haas, C.: Gridded segments of sea-ice or snow surface elevation and freeboard from helicopter-borne laser scanner during the MOSAiC expedition, version 1. PANGAEA [data set], https://doi.org/10.1594/PANGAEA.950339, 2023.</p> </blockquote> <p> </p> <p><em><strong>Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): sea ice total freeboard (sea ice freeboard + snow depth)</strong></em></p> <blockquote> <p>ICESat-2 ATL10 total freeboard data (version 6, latest version) are available from NSIDC: https://doi.org/10.5067/ATLAS/ATL10.006.</p> <p>Kwok, R., Petty, A., Cunningham, G., Markus, T., Hancock, D., Ivanoff, A., Wimert, J., Bagnardi, M., and Kurtz, N.: ATLAS/ICESat-2 L3A Sea Ice Freeboard, Version 6, National Snow and Ice Data Center, Boulder, Colorado, USA [data set], https://doi.org/10.5067/ATLAS/ATL10.006, 2023. </p> </blockquote> <p> </p> <p><em><strong>Snow pits: snow density</strong></em></p> <blockquote> <p>Snow pit data collected during the MOSAiC expedition are available from PANGAEA: https://doi.org/10.1594/PANGAEA.940214.</p> <p>Macfarlane, A. R., Schneebeli, M., Dadic, R., Wagner, D. N., Arndt, S., Clemens-Sewall, D., Hämmerle, S., Hannula, H.-R., Jaggi, M., Kolabutin, N., Krampe, D., Lehning, M., Matero, I., Nicolaus, M., Oggier, M., Pirazzini, R., Polashenski, C., Raphael, I., Regnery, J., Shimanchuck, E., Smith, M. M., and Tavri, A.: Snowpit snow density cutter profiles measured during the MOSAiC expedition, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.940214, 2022.</p> </blockquote> <p> </p> <p><em><strong>Transects: sea ice thickness and snow depth</strong></em></p> <blockquote> <p>Transect data collected during MOSAiC are available from PANGAEA: https://doi.org/10.1594/PANGAEA.937781.</p> <p>Itkin, P., Webster, M., Hendricks, S., Oggier, M., Jaggi, M., Ricker, R., Arndt, S., Divine, D. V., von Albedyll, L., Raphael, I., Rohde, J., and Liston, G. E.: Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition. PANGAEA [data set], https://doi.org/10.1594/PANGAEA.937781, 2021.</p> </blockquote> <p> </p> <p><em><strong>Ice cores: sea ice density</strong></em></p> <blockquote> <p>Ice core data collected from the MOSAiC Main Coring Sites are available from PANGAEA: https://doi.org/10.1594/PANGAEA.956732 (MCS-FYI) and https://doi.org/10.1594/PANGAEA.959830 (MCS-SYI).</p> <p>Oggier, M., Salganik, E., Whitmore, L., Fong, A. A., Hoppe, C. J. M., Rember, R., Høyland, K. V., Divine, D. V., Gradinger, R., Fons, S. W., Abrahamsson, K., Aguilar-Islas, A. M., Angelopoulos, M., Arndt, S., Balmonte, J. P., Bozzato, D., Bowman, J. S., Castellani, G., Chamberlain, E., Creamean, J., D'Angelo, A., Damm, E., Dumitrascu, A., Eggers, S. L., Gardner, J., Grosfeld, L., Haapala, J., Immerz, A., Kolabutin, N., Lange, B. A., Lei, R., Marsay, C. M., Maus, S., Müller, O., Olsen, L. M., Nuibom, A., Ren, J., Rinke, A., Sheikin, I., Shimanchuk, E., Snoeijs-Leijonmalm, P., Spahic, S., Stefels, J., Torres-Valdés, S., Torstensson, A., Ulfsbo, A., Verdugo, J., Vortkamp, M., Wang, L., Webster, M., Wischnewski, L., and Granskog, M. A.: First-year sea-ice salinity, temperature, density, oxygen and hydrogen isotope composition from the main coring site (MCS-FYI) during MOSAiC legs 1 to 4 in 2019/2020. PANGAEA [data set], https://doi.org/10.1594/PANGAEA.956732, 2023.</p> <p>Oggier, M., Salganik, E., Whitmore, L., Fong, A. A., Hoppe, C. J. M., Rember, R., Høyland, K. V., Gradinger, R., Divine, D. V., Fons, S. W., Abrahamsson, K., Aguilar-Islas, A. M., Angelopoulos, M., Arndt, S., Balmonte, J. P., Bozzato, D., Bowman, J. S., Castellani, G., Chamberlain, E., Creamean, J., D'Angelo, A., Damm, E., Dumitrascu, A., Eggers, L., Gardner, J., Grosfeld, L., Haapala, J., Immerz, A., Kolabutin, N., Lange, B. A., Lei, R., Marsay, C. M., Maus, S., Olsen, L. M., Müller, O., Nuibom, A., Ren, J., Rinke, A., Sheikin, I., Shimanchuk, E., Snoeijs-Leijonmalm, P., Spahic, S., Stefels, J., Torres-Valdés, S., Torstensson, A., Ulfsbo, A., Verdugo, J., Vortkamp, M., Wang, L., Webster, M., Wischnewski, L., and Granskog, M. A.: Second-year sea-ice salinity, temperature, density, oxygen and hydrogen isotope composition from the main coring site (MCS-SYI) during MOSAiC legs 1 to 4 in 2019/2020. PANGAEA [data set], https://doi.org/10.1594/PANGAEA.959830, 2023.</p> </blockquote> <p> </p>
Reduced variable ARM interpolated sonde data April 2017- March 2022
<p>Tar bundle of reduced ARM interpolated sonde data from the SGP C1 site for Bath post-graduate Maths4DL projects.</p><p>Data presented as daily files in annual tar files.</p>
Relocated Earthquake Catalog for Sumatra-Indonesia (April 2009 to December 2022)
<p>Relocated Earthquake Catalog for Sumatra (April 2009 to December 2022). </p> <p>Please refer to:</p> <p>Widiyantoro, S., Supendi, P., Rawlinson, N. et al. A note on the seismicity of Sumatra, western Sunda Arc, Indonesia, in relation to the potential for back-arc thrusting. Sci Rep 14, 13115 (2024). https://doi.org/10.1038/s41598-024-64076-7</p>
Effects of subauroral polarization streams on ionospheric radial currents during the geomagnetic storm on April 23, 2023
<p>The simulation from TIEGCM used in the manuscript entitled"</p> <p><strong><span>Effects of subauroral polarization streams on ionospheric radial currents during the geomagnetic storm on April 23, 2023</span></strong></p> <p>"</p>
BOLD release 5 April 2024, curated with pipeline commit d7f034f1e14f15daed708bb3e0e8ddf1b50e0249
Open the record for dataset details and reuse information.
VE3HOA CHU 3.330 MHz from April 8, 2024 Solar Eclipse
Open the record for dataset details and reuse information.
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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.
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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.