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Fig. 3 Ixodes barkeri Barker, 2019 in Description of the female, nymph and larva and mitochondrial genome, and redescription of the male of Ixodes barkeri Barker, 2019 (Acari: Ixodidae), from the short-beaked echidna, Tachyglossus aculeatus, with a consideration of the most suitable subgenus for this tick
Fig. 3 Ixodes barkeri Barker, 2019, scanning electron micrographs of male. A Spiracular plate (arrows show orientation of spiracular plate: a, anterior; d, dorsal). B Gnathosoma, dorsal view. C Gnathosoma, ventral view. D Gnathosoma, anteroventral view. E Coxae. F Trochanter I, dorsal view. Scale bars: A–D, F 0.1 mm; E, 0.2 mm
Annual bottom trawling hours and hotspots in the Mediterranean for 2019
<p>An enhanced version of the R4AIS workflow (Galdelli et al., 2021) was used to process T-AIS data, with a poll frequency of 5 min, of fishing vessels operating in the Mediterranean Sea in 2019. Data of vessels categorized as bottom trawlers were aggregated to obtain yearly fishing hours at 0.1° and 0.5° resolution. Besides information of the number of vessels involved in the fishing activity and their nationality were retrived.</p> <p>Besides, statistically significant trawling hotspots of fishing activities in the Mediterranean were identified by the application of the Getis-Ord Gi statistic (Getis and Ord 2010) though the statistical software R using the globalG.test function (spdep package). The function computes a global test for spatial autocorrelation using a Monte Carlo simulation approach. It tests the null hypothesis of no autocorrelation against the alternative hypothesis of positive spatial autocorrelation. Then the local spatial autocorrelation was tested calculating the Gi statistic, using the local_g_perm function (dfdep package), which indicates the strength of the clustering.</p> <p>Categorization of hotspots was performed, according to the Gi value and the p-value of a folded permutation test obtained for each grid cell, as follows:</p> <ul> <li>Gi>0 and p_value <=0.01 as Very hot</li> <li>Gi>0 and p_value <=0.05 as Hot</li> <li>Gi>0 and p_value <=0.1 as Somewhat hot</li> <li>Gi<0 and p_value <=0.1 as Somewhat cold</li> <li>Gi<0 and p_value <=0.05 as Cold</li> <li>Gi<0 and p_value <=0.01 à Very cold</li> </ul> <p>Grid cells with a p-value > 0.1 were categorized as Insignificant.</p> <p> </p> <p>The present dataset includes layers of the annual bottom trawling activity and their hotspot in the Mediterranean (.shp; .csv) at both resolutions (0.1°; 0.5°)</p>
Template matching catalog of the seismicity induced by hydraulic fracturing operations at Preston New Road (UK) in 2019
<p>The file PNR2_TMcatalog.csv contains the catalog of seismicity induced by the hydraulic fracturing operations carried out at Preston New Road (UK) in 2019. The catalog was created with template matching using a single downhole sensor located in a monitoring well.</p> <p>Here is the description of the columns found in the file:</p> <ul> <li>ARRTIME: P-wave arrival times at the reference station.</li> <li>X, Y, Z: hypocentral coordinates (easting, northing and depth). Northing and easting are expressed in the United Kingdom Ordnance Survey coordinate system (EPSG:27700). Depth is expressed in meters below sea level.</li> <li>MW: moment magnitudes.</li> <li>CLUSTER: cluster ID. Earthquakes with the same cluster ID were detected by the same template.</li> </ul>
Assessment of Fair Trade education programs in France: high school data (2019-2022)
<p>see the technical report (period 2019-2021) on researchgate:</p> <p><a href="https://www.researchgate.net/publication/380823820_Evaluation_of_the_fair-trade_education_programs_Results_of_the_first_phase_of_the_Fair_Future_program">(PDF) Evaluation of the fair-trade education programs. Results of the first phase of the Fair Future program (researchgate.net)</a></p> <p> </p>
Assessment of Fair Trade education programs in France: control groups for universities (2019-2022)
<p><span>see the technical report (period 2019-2021) on researchgate:</span></p> <p><span><a href="https://www.researchgate.net/publication/380823820_Evaluation_of_the_fair-trade_education_programs_Results_of_the_first_phase_of_the_Fair_Future_program">(PDF) Evaluation of the fair-trade education programs. Results of the first phase of the Fair Future program (researchgate.net)</a></span></p>
Located Earthquakes Loki's Castle 2019-2020 Deployment
<div>The dataset includes information about the 6977 located events from the 2019-2020 Loki ocean bottom seismometer deplyoment (network code: 8M). The events cover the deplyoment period of 11 months and were recorded by 8 ocean bottom seismometers west of Loki's Castle hydrothermal vent field with a station spacing of 5-6 km. Earthquakes were detected using Lassie, automatically picked using PhaseNet, and partially manually re-picked. Events for location were chosen to have at least 7 P phase picks and were located using NonLinLoc with the EDT_OT inversion scheme. Amplitudes were automatically picked with SEISANs automag function. Local magnitudes were calculated using the hypocentral distance. </div>
Figure 9. Genus Flannerystrongylus Smales, 2019. Body sections. A–C Flannerystrongylus abulus Smales, 2019. A, A in Revision of the genera of Heligmonellidae (Nematoda, Heligmosomoidea), parasitic in Muridae from New Guinea
Figure 9. Genus Flannerystrongylus Smales, 2019. Body sections. A–C Flannerystrongylus abulus Smales, 2019. A, A' within proximal body, female. B, C at midbody. B male, C female. D–E' Flannerystrongylus chisholmae Smales, 2020. D–E' at midbody. D, D' male. E, E' female. Abbreviation: cu, cuticle. Sources: A–C redrawn from [42]; D, E redrawn from [43]. A', B', D', E': modified figures: A' rotation clockwise, re-numbering of ridges with respect to the original. B' rotation clockwise. D', E' addition of external cuticular lining. D' re-numbering of ridges.
Ozone 3D field from IRS assimilation run - June 2019
<p>In the frame of Vittorioso's PhD, an Observing System Simulation Experiment has bee set up to evaluate the future benefit of the geostationary IRS sounder on ozone field over Europe. The full set-up is composed of a Nature Run (reality), a Control Run (no assimilation) and an Assimilation Run (assimilation or IRS) over the months June to August 2019.<br>This dataset is Ozone 3D field from the assimilation run for June 2019. One file per day including hourly fields.</p>
Рис. 4. РаспреΔеΛение чисΛенности и биомассы зоопΛанктона гиΔротермаΛьной зоны Харанорского воΔохраниΛища в июΛе 2019 г. Fig. 4. Distribution of zooplankton abundance and biomass in the hydrothermal zone of the Kharanor reservoir in July 2019 in Zooplankton Structure And Distribution In The Hydrothermal Zone Of Cooling Reservoirs (Trans-Baikal Territory)
Рис. 4. РаспреΔеΛение чисΛенности и биомассы зоопΛанктона гиΔротермаΛьной зоны Харанорского воΔохраниΛища в июΛе 2019 г. Fig. 4. Distribution of zooplankton abundance and biomass in the hydrothermal zone of the Kharanor reservoir in July 2019
Рис. 3. ЭкоΛого-географическая характеристика зоопΛанктона гиΔротермаΛьной зоны Харанорского воΔохраниΛища в июΛе 2019 г.: А — зоогеография, Б — местообитание, В — способ переΔвижения, Г — способ питания in Zooplankton Structure And Distribution In The Hydrothermal Zone Of Cooling Reservoirs (Trans-Baikal Territory)
Рис. 3. ЭкоΛого-географическая характеристика зоопΛанктона гиΔротермаΛьной зоны Харанорского воΔохраниΛища в июΛе 2019 г.: А — зоогеография, Б — местообитание, В — способ переΔвижения, Г — способ питания
Рис. 2. РаспреΔеΛение чисΛенности и биомассы зоопΛанктона гиΔротермаΛьной зоны оз. Кенон в июΛе 2019 г. Fig. 2. Distribution of zooplankton abundance and biomass in the hydrothermal zone of Lake Kenon in July 2019 in Zooplankton Structure And Distribution In The Hydrothermal Zone Of Cooling Reservoirs (Trans-Baikal Territory)
Рис. 2. РаспреΔеΛение чисΛенности и биомассы зоопΛанктона гиΔротермаΛьной зоны оз. Кенон в июΛе 2019 г. Fig. 2. Distribution of zooplankton abundance and biomass in the hydrothermal zone of Lake Kenon in July 2019
12 11 in Additions For Lepidoptera Fauna Of Kunashir Is. (Insecta, Lepidoptera) In 2019
12 11 Рис. 1. ЧешуекрыΛые (Lepidoptera) Кунашира [Lepidoptera of Kunashir Is.]: 1 — Pelecystola strigosa, ♂; 2 — Archips nigricaudanus, ♂; 3 — Habrosyne pyritoides, ♀; 4 — Pelosia obtusa, ♂; 5 — Thumatha muscula, ♂; 6 — Meganola subgigas, ♂; 7 — Hypostrotia cinerea, ♂; 8 — Paraphyllophila confusa, ♂; 8 — Karana laetevirens, ♂; 10 — K. laetevirens, ♀; 11 — Apamea monoglypha, ♂; 13 — Apamea monoglypha, ♀; 13 — Pseudohermonassa velata, ♀
Рис. 1. ЭкоΛого-географическая характеристика зоопΛанктона гиΔротермаΛьной зоны оз. Кенон в июΛе 2019 г.: А — зоогеография, Б — местообитание, В — способ переΔвижения, Г — способ питания Fig. 1. Ecological and geographic characteristics of zooplankton in the hydrothermal zone of Lake Kenon in July 2019: А — zoogeography, Б — habitat, В — type of locomotion, Г — type of feeding in Zooplankton Structure And Distribution In The Hydrothermal Zone Of Cooling Reservoirs (Trans-Baikal Territory)
Рис. 1. ЭкоΛого-географическая характеристика зоопΛанктона гиΔротермаΛьной зоны оз. Кенон в июΛе 2019 г.: А — зоогеография, Б — местообитание, В — способ переΔвижения, Г — способ питания Fig. 1. Ecological and geographic characteristics of zooplankton in the hydrothermal zone of Lake Kenon in July 2019: А — zoogeography, Б — habitat, В — type of locomotion, Г — type of feeding
Figure 9. – Significant French ichthyological records for 2019 in French ichthyological records for 2019
Figure 9. – Significant French ichthyological records for 2019 (continued). A: Synapturichthys kleinii, ~20 cm TL, 10 Aug 2019 (© J.P. Renoult); B: S. kleinii, ~20 cm TL, 27 Oct 2019 (© S. Le Bris); C: Lagocephalus lagocephalus, ~30 cm TL, 15 Aug 2019 (© J.P. Brenneisen); D: L. lagocephalus, 23 Aug 2019 (© A. Le Breton); E: L. lagocephalus, ~34 cm TL, 22 Aug 2019, MNHN-IC 2021-0156 (© S.P. Iglésias); F: Mola mola, 595 mm TL, 25 Oct 2019, MNHN-IC 2021-0157 (© S.P. Iglésias).
Figure 3. – Significant French ichthyological records for 2019 in French ichthyological records for 2019
Figure 3. – Significant French ichthyological records for 2019 (continued). A: Photostomias guernei, 135 mm TL, 27 Oct 2019, MNHN-IC 2021-0141 (© S.P. Iglésias); B: Ijimaia loppei, 740+ mm long, 27 Oct 2019, MNHNIC 2021 - 0142 (© S. P. Iglésias); C: Echiodon drummondii, 268 mm TL, 25 Nov 2019 (© S.P. Iglésias).
Figure 1 in French ichthyological records for 2019
Figure 1. – Location of the significant French ichthyological records for 2019 (red dots). 1: Tetronarce nobiliana; 2: Gymnothorax unicolor; 3: Maulisia mauli; 4: Salmo trutta; 5: Photostomias guernei; 6: Ijimaia loppei; 7: Echiodon drummondii; 8: Grammonus ater; 9: Holocentrus adscensionis; 10: Nerophis lumbriciformis; 11: Scorpaena scrofa; 12: Lepidotrigla dieuzeidei; 13: Eutelichthys leptochirus; 14: Liparis montagui; 15: Mycteroperca rubra; 16: Serranus cabrilla; 17: Remora remora; 18: Caranx crysos; 19: Naucrates ductor; 20: Seriola rivoliana; 21: Trachurus picturatus; 22: Argyrosomus regius; 23: Pseudoscopelus astronesthidens; 24: Parablennius pilicornis; 25: Deltentosteus collonianus; 26: Didogobius schlieweni; 27: Didogobius splechtnai; 28: Gobius couchi; 29: Gobius gasteveni; 30: Lebetus guilleti; 31: Synapturichthys kleinii; 32: Mola mola; blue dots: Lagocephalus lagocephalus. Dots = location of collected or observed individuals; Red lines = Exclusive Economic Zone boundaries; Black lines = FAO fishing areas.
FIGURE 9. All field collections from 2013 - early 2019 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 9. All field collections from 2013 - early 2019 to be used for tracking previous collection area. Points outside of JODA boundaries are BLM, USFS, or private localities. Precise locality information is available to qualified researchers upon request from JODA's museum program.
Input data for running forward simulations of CO2 atmospheric concentrations over Europe for the year 2019.
<p>This dataset provides input data (fluxes, background concentrations, and observations) for running forward simulations of CO2 atmospheric concentrations over Europe for the year 2019 using chemical transport models (CTMs). While some components of the dataset are available in other repositories, this compilation serves to 1) streamline the data collection process for other users and 2) bypass the need to perform data aggregation.</p> <p>Here is a description of each dataset:</p> <p><strong>cams73_latest_co2_conc_surface_inst_2019*.nc</strong></p> <p>CO2 mole fractions from the CAMS global inversion-optimised product v20r2 (Chevallier et al., 2010).</p> <p>The data are provided at a resolution of 3.75° in longitude and 1.9° in latitude, with a 3-hourly temporal resolution. </p> <p><strong>monitor_CO2_CIF_2019.nc</strong></p> <div> <div> <div> <div> <div> <div> <p>Observed CO2 atmospheric mixing ratios in Europe, compiled in version V8 of the ICOS GlobalView Obspack (ICOS RI et al., 2023), include continuous measurements from 58 stations across Europe, incorporating both ICOS and non-ICOS facilities.</p> <p>The original dataset has been aggregated and adapted to match the format of the monitor files used in the Community Inversion Framework (CIF; Berchet et al., 2021).</p> </div> </div> </div> </div> </div> </div> <p><strong>EDGARv4.3_BP2021_CO2_EU2_2019.nc</strong></p> <p>Anthropogenic CO2 fluxes (European, hourly) obtained from EDGAR-v4.2 and BP.</p> <p>The anthropogenic CO2 emissions are based on the spatial distribution from the EDGAR-v4.2 inventory, national and annual budgets from British Petroleum (BP) statistics, and hourly temporal profiles derived using the COFFEE approach (Steinbach et al., 2011, available on the ICOS Carbon Portal). This data is provided at a 0.1° × 0.1° horizontal resolution and hourly temporal resolution.</p> <p><strong>FG2.TRENDY11.ORC3.S3.3H_NBP_resp_2019.nc</strong></p> <p>NBP CO2 fluxes (global, 3-hourly) obtained from ORCHIDEE simulations. </p> <p>The ORCHIDEE-TRENDY simulation is conducted as part of the TRENDY model intercomparison project (e.g., Sitch et al., 2015; Friedlingstein et al., 2022). This simulation uses inputs provided by the project, including the CRUERA atmospheric climate forcing (global, 6-hourly, 0.5-degree resolution), LUH2 land-use change dataset, global atmospheric CO2 concentration data, and nitrogen fertilizer input datasets. All TRENDY simulations adhere to a standardized protocol: a model spin-up phase using recycled forcing data from 1901-1920, with other inputs from 1700, continues until the model's carbon pools reach equilibrium (340 years of spin-up for ORCHIDEE). This is followed by a transient simulation from 1700-1900, varying CO2 and land-use data while recycling climate forcing, and a historical simulation from 1901-2020 with all data inputs varied.</p> <p><strong>FR2.ORC3v7267.CRUERA3.NBP_3H.2019.nc</strong></p> <p>NBP CO2 fluxes (Europe, 3-hourly) obtained from ORCHIDEE simulations. </p> <p>The ORCHIDEE-VERIFY simulation is performed as part of the VERIFY project over the European region. This simulation is driven by the CRUERA dataset, which is derived from the ERA5-Land dataset (originally global, 1-hourly, at 0.1-degree resolution), transformed to the VERIFY region of interest (35°N to 73°N, 25°W to 45°E, 3-hourly, at 0.125-degree resolution), and re-aligned with the CRU observation dataset (for air temperature, shortwave radiation, humidity, and precipitation). The Hilda+ dataset is used for land use, and the EMEP model outputs are used for nitrogen inputs. The VERIFY simulation follows the general protocol used in the TRENDY project.</p> <p><strong>FR2.ORC3v7267.CRUERA3.hetero_resp_3H.2019.nc</strong></p> <p>Heterotrophic respiration CO2 fluxes (Europe, 3-hourly) obtained from ORCHIDEE simulations as described in the previous section.</p> <p><strong>Becker_coastal_fluxes_RF_v2021_2_2019.nc</strong></p> <p>Ocean CO2 fluxes (Europe, daily). </p> <p>The ocean fluxes come from a hybrid product combining the University of Bergen coastal ocean flux estimate and the Rödenbeck global ocean estimate (Rödenbeck et al., 2014). This data is provided at a 0.125° × 0.125° horizontal resolution and at a daily temporal resolution.</p> <p> </p> <p><em><strong>References</strong></em> </p> <p> </p> <p>Berchet, A., Sollum, E., Pison, I., Thompson, R. L., Thanwerdas, J., Fortems-Cheiney, A., Peet, J. C. A. v., Potier, E., Chevallier, F., Broquet, G., and Berchet, A.: The Community Inversion Framework: codes and documentation, https://doi.org/10.5281/zenodo.6304912, 2022</p> <p>Chevallier, F., Ciais, P., Conway, T. J., Aalto, T., Anderson, B. E., Bousquet, P., Brunke, E. G., Ciattaglia, L., Esaki, Y., Fröhlich, M., Gomez, A., Gomez-Pelaez, A. J., Haszpra, L., Krummel, P. B., Langenfelds, R. L., Leuenberger, M., Machida, T., Maignan, F., Matsueda, H., Morguí, J. A., Mukai, H., Nakazawa, T., Peylin, P., Ramonet, M., Rivier, L., Sawa, Y., Schmidt, M., Steele, L. P., Vay, S. A., Vermeulen, A. T., Wofsy, S., and Worthy, D.: CO2 surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements, Journal of Geophysical Research: Atmospheres, 115, https://doi.org/10.1029/2010JD013887, 2010</p> <p>Friedlingstein, P., O’Sullivan, M., Jones, M. W., Andrew, R. M., Gregor, L., Hauck, J., Le Quéré, C., Luijkx, I. T., Olsen, A., Peters, G. P.,Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Alkama, R., Arneth, A., Arora,V. K., Bates, N. R., Becker, M., Bellouin, N., Bittig, H. C., Bopp, L., Chevallier, F., Chini, L. P., Cronin, M., Evans, W., Falk, S., Feely, R. A., Gasser, T., Gehlen, M., Gkritzalis, T., Gloege, L., Grassi, G., Gruber, N., Gürses, O., Harris, I., Hefner, M., Houghton, R. A.,Hurtt, G. C., Iida, Y., Ilyina, T., Jain, A. K., Jersild, A., Kadono, K., Kato, E., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken,J. I., Landschützer, P., Lefèvre, N., Lindsay, K., Liu, J., Liu, Z., Marland, G., Mayot, N., McGrath, M. J., Metzl, N., Monacci, N. M.,Munro, D. R., Nakaoka, S.-I., Niwa, Y., O’Brien, K., Ono, T., Palmer, P. I., Pan, N., Pierrot, D., Pocock, K., Poulter, B., Resplandy, L.,Robertson, E., Rödenbeck, C., Rodriguez, C., Rosan, T. M., Schwinger, J., Séférian, R., Shutler, J. D., Skjelvan, I., Steinhoff, T., Sun, Q., Sutton, A. J., Sweeney, C., Takao, S., Tanhua, T., Tans, P. P., Tian, X., Tian, H., Tilbrook, B., Tsujino, H., Tubiello, F., van der Werf,G. R., Walker, A. P., Wanninkhof, R., Whitehead, C., Willstrand Wranne, A., Wright, R., Yuan, W., Yue, C., Yue, X., Zaehle, S., Zeng, J., and Zheng, B.: Global Carbon Budget 2022, Earth System Science Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022,https://essd.copernicus.org/articles/14/4811/2022/, publisher: Copernicus GmbH, 2022</p> <p>ICOS RI, Bergamaschi, P., Colomb, A., De Mazière, M., Emmenegger, L., Kubistin, D., Lehner, I., Lehtinen, K., Lund Myhre, C., Marek, M., Platt, S. M., Plaß-Dülmer, C., Schmidt, M., Apadula, F., Arnold, S., Blanc, P.-E., Brunner, D., Chen, H., Chmura, L., Conil, S., Couret, C., Cristofanelli, P., Delmotte, M., Forster, G., Frumau, A., Gheusi, F., Hammer, S., Haszpra, L., Heliasz, M., Henne, S., Hoheisel, A., Kneuer, T., Laurila, T., Leskinen, A., Leuenberger, M., Levin, I., Lindauer, M., Lopez, M., Lunder, C., Mammarella, I., Manca, G., Manning, A., Marklund, P., Martin, D., Meinhardt, F., Müller-Williams, J., Necki, J., O’Doherty, S., Ottosson-Löfvenius, M., Philippon, C., Piacentino, S., Pitt, J., Ramonet, M., Rivas-Soriano, P., Scheeren, B., Schumacher, M., Sha, M. K., Spain, G., Steinbacher, M., Sørensen, L. L., Vermeulen, A., Vítková, G., Xueref-Remy, I., di Sarra, A., Conen, F., Kazan, V., Roulet, Y.-A., Biermann, T., Heltai, D., Hensen, A., Hermansen, O., Komínková, K., Laurent, O., Levula, J., Pichon, J.-M., Smith, P., Stanley, K., Trisolino, P., ICOS Carbon Portal, ICOS Atmosphere Thematic Centre, ICOS Flask And Calibration Laboratory, and ICOS Central Radiocarbon Laboratory: European Obspack compilation of atmospheric carbon dioxide data from ICOS and non-ICOS European stations for the period 1972-2023;<br>obspack_co2_466_GLOBALVIEWplus_v8.0_2023-04-26, https://doi.org/10.18160/CEC4-CAGK, 2023</p> <p>Rödenbeck, C., Bakker, D. C. E., Metzl, N., Olsen, A., Sabine, C., Cassar, N., Reum, F., Keeling, R. F., and Heimann, M.: Interannual sea–air CO2 flux variability from an observation-driven ocean mixed-layer scheme, Biogeosciences, 11, 4599–4613, https://doi.org/10.5194/bg-11-4599-2014, 2014</p> <p>Sitch, S., Friedlingstein, P., Gruber, N., Jones, S. D., Murray-Tortarolo, G., Ahlström, A., Doney, S. C., Graven, H., Heinze, C., Huntingford,C., Levis, S., Levy, P. E., Lomas, M., Poulter, B., Viovy, N., Zaehle, S., Zeng, N., Arneth, A., Bonan, G., Bopp, L., Canadell, J. G.,Chevallier, F., Ciais, P., Ellis, R., Gloor, M., Peylin, P., Piao, S. L., Le Quéré, C., Smith, B., Zhu, Z., and Myneni, R.: Recent trends and drivers of regional sources and sinks of carbon dioxide, Biogeosciences, 12, 653–679, https://doi.org/10.5194/bg-12-653-2015, https://bg.copernicus.org/articles/12/653/2015/, publisher: Copernicus GmbH, 2015.</p> <p>Steinbach, J., Gerbig, C., Rödenbeck, C., Karstens, U., Minejima, C., and Mukai, H.: The CO2 release and Oxygen uptake from Fossil Fuel Emission Estimate (COFFEE) dataset: effects from varying oxidative ratios, Atmospheric Chemistry and Physics, 11, 6855–6870,1160 https://doi.org/10.5194/acp-11-6855-2011, 2011</p> <p> </p> <p> </p> <p> </p>
Рис. 3. Гусеница коΛьчатого шеΛкопря- Δа, пораженная вирусом яΔерного поΛиэΔроза. УПН, 2019 г. (фото автора) Fig. 3. Caterpillar of the Lackey moth, killed by the nuclear polyhedrosis virus. SOM, 2019 (photo by author) in Lackey Moth (Malacosoma Neustria L., Lasiocampidae, Lepidoptera) Population During The Eruptive Phase
Рис. 3. Гусеница коΛьчатого шеΛкопря- Δа, пораженная вирусом яΔерного поΛиэΔроза. УПН, 2019 г. (фото автора) Fig. 3. Caterpillar of the Lackey moth, killed by the nuclear polyhedrosis virus. SOM, 2019 (photo by author)
Рис. 5. Общая схема Δинамики эпизоотии в приамурской попуΛяции коΛьчатого шеΛкопряΔа. ВертикаΛьно: коΛичество погибших гусениц (% от чисΛа собранных за весь периоΔ иссΛеΔований в 2019 г. гусениц). ГоризонтаΛьно: Δата сбора гусениц на территории УПН. — гибеΛь от вируса яΔерного поΛиэΔроза; — гибеΛь от бактериоза Fig. 5. General scheme of the Lackey moth epizootic dynamics for the Cisamurian population. Vertical: number of the deaths, (percentage from the total number of caterpillars collected in 2019 (578 caterpillars)); horizontal: dates of laboratory controls. — death from the NPV; — death from the bacteriosis in Lackey Moth (Malacosoma Neustria L., Lasiocampidae, Lepidoptera) Population During The Eruptive Phase
Рис. 5. Общая схема Δинамики эпизоотии в приамурской попуΛяции коΛьчатого шеΛкопряΔа. ВертикаΛьно: коΛичество погибших гусениц (% от чисΛа собранных за весь периоΔ иссΛеΔований в 2019 г. гусениц). ГоризонтаΛьно: Δата сбора гусениц на территории УПН. — гибеΛь от вируса яΔерного поΛиэΔроза; — гибеΛь от бактериоза Fig. 5. General scheme of the Lackey moth epizootic dynamics for the Cisamurian population. Vertical: number of the deaths, (percentage from the total number of caterpillars collected in 2019 (578 caterpillars)); horizontal: dates of laboratory controls. — death from the NPV; — death from the bacteriosis
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.
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.