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Figure 4 in First observation and seasonal dynamics of the new invasive planktonic copepod Oithona davisae Ferrari and Orsi, 1984 along the southern Black Sea (Anatolian Coast)

Figure 4. Photographs of Oithona davisae: (a, b) lateral view of female with egg sac; (c) dorsal view of male; (d) lateral view of urosome; (e) rostrum of female (Photographs by Yildiz and Feyzioglu).

Figure 7 in First observation and seasonal dynamics of the new invasive planktonic copepod Oithona davisae Ferrari and Orsi, 1984 along the southern Black Sea (Anatolian Coast)

Figure 7. Black Sea coastal current system (http://www.ims.metu.edu.tr/cv/oguz/circulation.htm). © Temel Oguz. Reproduced by permission of Temel Oguz. Permission to reuse must be obtained from the rightsholder.

Figure 1 in First observation and seasonal dynamics of the new invasive planktonic copepod Oithona davisae Ferrari and Orsi, 1984 along the southern Black Sea (Anatolian Coast)

Figure 1. (●) Previous report sites of Oithona davisae (Altukhov et al. 2014), (▲) Time series stations and (+) sampling locations.

opencc-by-4.0Sep 2024View details →

Sea ice bulk density estimates during the MOSAiC freezing season from October 2019 to April 2020

<h2>MOSAiC: the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition.</h2> 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 (Regional buoy sites). Additionally, we also provided core-based IBD data from the MOSAiC Main Coring Sites (MCS), derived using the weighing method (MCS-FYI and MCS-SYI). Due to the challenges in reconciling spatially non-overlapping observations, we implemented two alternative approaches—Regional Case 1 and Regional Case 2—to further upscale the hydrostatic equilibrium-based IBD retrievals within the MOSAiC DN.   <h2>Variable Details:</h2> Note that all density results are in kilograms per cubic metre. <blockquote> [Time]: covering the period from 5 October 2019 to 30 April 2020 in the format yyyyMMdd. [Longitude] & [Latitude]: characterizing the daily position for the MOSAiC Central Observatory (CO). </blockquote>   <blockquote> [Reg_buoy_DN]: Estimated mean sea ice bulk density at the buoy siteswithin a radius of ~50 km from CO (DN scale). [Reg_buoy_DN_Unc1]: Uncertainty of [Reg_buoy_DN] resulting from the input parameters, calculated using the Gaussian error propagation method. [Reg_buoy_DN_Unc2]: Uncertainty of [Reg_buoy_DN] resulting from the introduced empirical adjustment coefficient, characterised using the mean absolute difference of multiple freeboard estimates. </blockquote>   <blockquote> [Reg_buoy_Lsite]: Estimated mean sea ice bulk density at the buoy sites within a radius of ~25 km from CO (Lsite scale). [Reg_buoy_Lsite_Unc1]: Uncertainty of [Reg_buoy_Lsite] resulting from the input parameters, calculated using the Gaussian error propagation method. [Reg_buoy_Lsite_Unc2]: Uncertainty of [Reg_buoy_Lsite] resulting from the introduced empirical adjustment coefficient, characterized using the mean absolute difference of multiple freeboard estimates. </blockquote>   <blockquote> [Reg_buoy_DL]: Mean value of [Reg_buoy_DN] and [Reg_buoy_Lsite], representing regional buoy estimates of IBD within the MOSAiC DN. [Reg_buoy_DL_Unc1]: Uncertainty of [Reg_buoy_DL] resulting from the input parameters, calculated using the Gaussian error propagation method. [Reg_buoy_DL_Unc2]: Uncertainty of [Reg_buoy_DL] resulting from the introduced empirical adjustment coefficient, characterized using the mean absolute difference of multiple freeboard estimates. </blockquote>   <blockquote> [Reg_case1_DN]: Mean IBD value for typical ice conditions at the DN scale, calculated using the integration of multi-source observations. [Reg_case2_DN]: Mean IBD value for typical ice conditions at the DN scale, calculated using initial values from large-scale observations and trend extrapolation. </blockquote>   <blockquote> [Loc_MCS_FYI]: Local-scale core-based bulk density derived from the main first-year coring sites (MCS-FYI) during MOSAiC. [Loc_MCS_SYI]: Local-scale core-based bulk density derived from the main second-year coring sites (MCS-SYI) during MOSAiC. 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 only 0.2% (Pustogvar and Kulyakhtin, 2016). 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. </blockquote>   <h2>Relevant datasets:</h2> Sea ice mass balance buoys (IMBs): sea ice thickness and snow depth <blockquote> SIMBA buoy measurements are available from PANGAEA: https://doi.org/10.1594/PANGAEA.938244. SIMB buoy measurements are available from the Arctic Data Center: https://doi.org/10.18739/A20Z70Z01. 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. 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. </blockquote>   Airborne laser scanning (ALS): sea ice total freeboard (sea ice freeboard + snow depth) <blockquote> Airborne laser scanning measurements during MOSAiC are available from PANGAEA: https://doi.org/10.1594/PANGAEA.950896. 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. </blockquote>   Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): sea ice total freeboard (sea ice freeboard + snow depth) <blockquote> ICESat-2 ATL10 total freeboard data (version 6, latest version) are available from NSIDC: https://doi.org/10.5067/ATLAS/ATL10.006. 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.&ensp; </blockquote>   Snow pits: snow density <blockquote> Snow pit data collected during the MOSAiC expedition are available from PANGAEA: https://doi.org/10.1594/PANGAEA.940214. 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. </blockquote>   Transects: sea ice thickness and snow depth <blockquote> Transect data collected during MOSAiC are available from PANGAEA: https://doi.org/10.1594/PANGAEA.937781. 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. </blockquote>   Ice cores: sea ice density <blockquote> 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). 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. 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. </blockquote>

opencc-by-4.0Nov 2022View details →

Measuring the disease burden of seasonal influenza in Germany 2015 – 2020 using the incidence-based disability-adjusted life years (DALYs)

Version 1.0.0 was created. Dataset includes all parameters and values used for all scenario-specific calculations, using the Burden of Communicable diseases in Europe (BCoDE) tool.

opencc-by-4.0Nov 2023View details →

Data for "Climate change will reduce inland wetland areas and disrupt their seasonal regimes in North America"

Dataset in matlab format that used to plot figures in the manuscript of Climate change will reduce inland wetland areas and disrupt their seasonal regimes in North America. Using load Figure#.mat in Figure#.m to plot corresponding figure.

Fig. 2 in Differences in Early Seasonal Activity of Three Burying Beetle Species (Coleoptera: Silphidae:NicrophorusF.) in Poland

Fig. 2. Early seasonal activity of three Nicrophorus species. 2A, 3A, 4A = second, third, and fourth weeks of April; 1M, 2M, 3M, 4M = first, second, third, and fourth weeks of May; 1J = first week of June.

Fig. 4 in Differences in Early Seasonal Activity of Three Burying Beetle Species (Coleoptera: Silphidae:NicrophorusF.) in Poland

Fig. 4. Activity of Nicrophorus humator in three types of habitat (meadow, forest, and forest edge) during the first weeks of seasonal activity. 2A, 3A, 4A = second, third, fourth weeks of April; 1M, 2M, 3M, 4M = first, second, third, fourth weeks of May; 1J = first week of June.

Fig. 3 in Differences in Early Seasonal Activity of Three Burying Beetle Species (Coleoptera: Silphidae:NicrophorusF.) in Poland

Fig. 3. Activity of burying beetles in three types of habitats (meadow, forest, and forest edge) during the first weeks of seasonal activity. A) Activity of Nicrophorus vespillo, B) Activity of Nicrophorus vespilloides. 2A, 3A, 4A = second, third, fourth weeks of April; 1M, 2M, 3M, 4M = first, second, third, fourth weeks of May; 1J = first week of June.

Fig. 5 in Differences in Early Seasonal Activity of Three Burying Beetle Species (Coleoptera: Silphidae:NicrophorusF.) in Poland

Fig. 5. Day of carcass colonization by individuals of Nicrophorus vespillo. A) Differences among types of habitats, B) Differences among months.

Fig. 6 in Differences in Early Seasonal Activity of Three Burying Beetle Species (Coleoptera: Silphidae:NicrophorusF.) in Poland

Fig. 6. Dendrogram with single linkage and squared Euclidean distance showing similarities in temperature of meadow, forest, and forest edge habitats.

opennotspecifiedDec 2004View details →

Fig. 4 in Biology and Seasonality of Fulcidax monstrosa (F.) (Chrysomelidae: Chlamisinae)

Fig. 4. Climatic diagram for the study area (data from Estação Evaporimétrica Agropecuária Carapebus) showing annual variation of temperature and precipitation. The dotted areas represent dry periods and the black ones very moist periods.

opennotspecifiedDec 2004View details →

Fig. 2 in Biology and Seasonality of Fulcidax monstrosa (F.) (Chrysomelidae: Chlamisinae)

Fig. 2. Life cycle of F. monstrosa. A) Adults on host plant B. sericea; B) mating; C) female ovipositing; D) egg; E) newly hatched larva; F, G) immature larvae; H) mature larva; I) pupa. Scale ¼ 5 mm.

Fig. 4 in Seasonal Occurrence (Phenology) of Coprophilous Beetles (Coleoptera: Scarabaeidae and Hydrophilidae) from Cattle and Sheep Farms in Southeastern Michigan, USA

Fig. 4. Phenology of dung beetle species with a split temporal distribution pattern in spring/summer and late autumn. Symbols indicate the presence of a species in each sample. Sampling started 26 March 2012 (before the first A on the date of collection axis) and ended 16 May 2013 (after the last M on the same axis). Circles show the presence of a beetle species on the sheep farm on the respective collection date, while squares show the presence of a beetle species on the cattle farm on the respective collection date. Presence of a species at the sheep farm is indicated below the labeled presence of the species at the cattle farm.

Fig. 2 in Seasonal Occurrence (Phenology) of Coprophilous Beetles (Coleoptera: Scarabaeidae and Hydrophilidae) from Cattle and Sheep Farms in Southeastern Michigan, USA

Fig. 2. Phenology of dung beetle species that occurred only in spring and early summer. Symbols indicate the presence of a species in each sample. Sampling started 26 March 2012 (before the first A on the date of collection axis) and ended 16 May 2013 (after the last M on the same axis). Circles show the presence of a beetle species on the sheep farm on the respective collection date, while squares show the presence of a beetle species on the cattle farm on the respective collection date. Presence of a species at the sheep farm is indicated below the labeled presence of the species at the cattle farm.

Fig. 3 in Seasonal Occurrence (Phenology) of Coprophilous Beetles (Coleoptera: Scarabaeidae and Hydrophilidae) from Cattle and Sheep Farms in Southeastern Michigan, USA

Fig. 3. Phenology of dung beetle species that occurred from summer until late autumn. Symbols indicate the presence of a species in each sample. Sampling started 26 March 2012 (before the first A on the date of collection axis) and ended 16 May 2013 (after the last M on the same axis). Circles show the presence of a beetle species on the sheep farm on the respective collection date, while squares show the presence of a beetle species on the cattle farm on the respective collection date. Presence of a species at the sheep farm is indicated below the labeled presence of the species at the cattle farm.

Fig. 1 in Seasonal Occurrence (Phenology) of Coprophilous Beetles (Coleoptera: Scarabaeidae and Hydrophilidae) from Cattle and Sheep Farms in Southeastern Michigan, USA

Fig. 1. Mean temperature (with maximum and minimum bars) and accumulated precipitation between sampling dates for Adrian, MI from March 2012 to June 2013 and number of beetles (N) sampled on those dates.

opennotspecifiedMar 2003View details →

Fig. 1 in Abundance and Seasonal Distribution of Predatory Coprophilous Argentine Rove Beetles (Coleoptera: Staphylinidae), and Their Effects on Dung Breeding Flies

Fig. 1. Predatory Staphylinidae collected in Castelar, Buenos Aires province: comparative numbers of the most common species per sampling 80 kg of cow dung.

opennotspecifiedMar 2003View details →

Fig. 2 in Abundance and Seasonal Distribution of Predatory Coprophilous Argentine Rove Beetles (Coleoptera: Staphylinidae), and Their Effects on Dung Breeding Flies

Fig. 2. Predatory Staphylinidae collected in El Cadillal, Tucuman province: comparative numbers of the most common species per sampling date in 80 kg of cow dung.

Figure 7 in First observation and seasonal dynamics of the new invasive planktonic copepod Oithona davisae Ferrari and Orsi, 1984 along the southern Black Sea (Anatolian Coast)