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Stable Isotope Data for Small Pelagic Fishes across the Northeast U.S. Continental Shelf from 2013-2015
These data represent the carbon and nitrogen stable isotope signatures of small pelagic fishes across the Northeast U.S. Continental Shelf as reported by Suca, J.J., et al. (2018) Feeding dynamics of Northwest Atlantic small pelagic fishes. Progress in Oceanography, 165, 52-62, https://doi.org/10.1016/j.pocean.2018.04.014. The five species of fish in this dataset represent a subset of the species collected in bottom trawls conducted by the NOAA NEFSC Ecosystems Survey Branch from Cape Hatteras to the Gulf of Maine for years 2013-2015. Sampling occurred in the Spring and Fall seasons. Sections of dorsal musculature were analyzed for carbon and nitrogen isotopes using mass spectrometry. Carbon-to-nitrogen isotopic ratios were reported along with the isotopic signatures for carbon and nitrogen respectively. Additionally, a lipid-corrected carbon signature was calculated for the fish muscle tissue. The dataset was supplemented with geospatial and temporal information from NOAA Fisheries trawl databases.
Abundance and biomass of Hemiaulus on the Northeast U.S. Shelf from 2013 to 2023 determined by Imaging FlowCytobot.
These data include abundance and carbon concentration of the diatom Hemiaulus on the Northeast U.S. Shelf during 81 research cruises from 2013 to 2023 as part of Long-Term Ecological Research (NES-LTER). Abundances are determined from Imaging FlowCytobot (IFCB) deployed in three different sampling schemes: underway mode (sampling near-surface seawater) on NOAA EcoMon, HAB Cyst, and AMAPPS broadscale survey cruises from 2013 to 2023; in underway mode (sampling near-surface seawater) on NES-LTER transect cruises from 2017 to 2023, and in discrete mode (CTD rosette discrete samples from depth) on NES-LTER transect cruises. Results are based on machine learning image classification, with one data table provided per sampling scheme (broadscale underway, transect underway, and transect discrete). Hemiaulus data are provided in abundance per milliliter and micrograms of carbon per liter.
Particle tracking dataset for: Exceptional 20th century ocean circulation in the Northeast Atlantic
<p>Particle tracking data for: "Exceptional 20th century ocean circulation in the Northeast Atlantic" Peter T. Spooner, David J. R. Thornalley, Delia W. Oppo, Alan Fox, Svetlana Radionovskaya, Neil L. Rose, Robbie Mallett, Emma Cooper, J. Murray Roberts</p> <p>VIKING20 (is a 1/20th degree ocean model, forced by a hindcast simulation of the atmosphere: CORE2 (Griffies et al., 2009). The reverse tracks of 113200 particles per year for 50 years, (1959-2009) were simulated with the ARIANE software (Döös, 1995) modified to include independent vertical motion of particles. Particles were seeded at the seabed in 10 km x 10 km boxes centered on MC16-A/17-5P and RAPID-21-3K (representing the settling location). The reverse tracks 'rose' (sinking) at 100 m/day (Takahashi & Be, 1984) and were then allowed to drift freely within the upper 100 m of the water column for six months (i.e. spanning the reasonable lifespan for many species of planktic foraminifera).</p> <p>Track data for the full 50 years are stored in a single netcdf file (output of ncdump -h <filename> given below). The 3D particle positions are in variables traj_lon, traj_lat and traj_depth with the Viking20 model along-track temperature, salinity and density in traj_temp, temp_sal and traj_dens, respectively. The main complication is the obscure storage of time (see also ARIANE software documentation). Variable init_t gives particle start time, counting in 5-day periods from 12:00 pm on 29 December 1957. Viking20 uses a fixed 365 day year so the year can be found for track 'traj' according to:</p> <p> year = 1958 + ( (init_t(traj)-1) \ 73 ) where '\' represents integer division, discarding the remainder.</p> <p>All particle tracks 'begin' (actually the end of the track in time as these are tracked backwards) at the start of July (12:00 pm July 1 in model). Particles are ordered by release time, so trajectories 1-113200 are 1959; 113201-226400 are 1960; etc. Positions are stored every 5 days, counting backwards.</p> <p>Further details are available from the authors.</p> <p> </p> <p>References</p> <p>Döös, K. (1995). Interocean exchange of water masses. Journal of Geophysical Research, 100(C7), 13499. <a href="https://doi.org/10.1029/95JC00337">https://doi.org/10.1029/95JC00337</a></p> <p>Griffies, S. M., Biastoch, A., Böning, C., Bryan, F., Danabasoglu, G., Chassignet, E. P., et al. (2009). Coordinated Ocean-ice Reference Experiments (COREs). Ocean Modelling, 26(1–2), 1–46. <a href="https://doi.org/10.1016/J.OCEMOD.2008.08.007">https://doi.org/10.1016/J.OCEMOD.2008.08.007</a></p> <p>Takahashi, K., & Be, A. W. H. (1984). Planktonic foraminifera: factors controlling sinking speeds. Deep Sea Research Part A. Oceanographic Research Papers, 31(12), 1477–1500. <a href="https://doi.org/10.1016/0198-0149(84)90083-9">https://doi.org/10.1016/0198-0149(84)90083-9</a></p> <p> </p> <p>$ ncdump -h ariane_trajectories_qualitative.nc</p> <p>netcdf ariane_trajectories_qualitative {</p> <p>dimensions:</p> <p>ntraj = 5660000 ;</p> <p>nb_output = UNLIMITED ; // (74 currently)</p> <p>variables:</p> <p><strong>double init_x(ntraj) ;</strong></p> <p>init_x:title = "What is init_x ?" ;</p> <p>init_x:longname = "Initial position in i" ;</p> <p>init_x:units = "No dimension" ;</p> <p>init_x:missing_value = 1.e+20 ;</p> <p><strong>double init_y(ntraj) ;</strong></p> <p>init_y:title = "What is init_y ?" ;</p> <p>init_y:longname = "Initial position in j" ;</p> <p>init_y:units = "No dimension" ;</p> <p>init_y:missing_value = 1.e+20 ;</p> <p><strong>double init_z(ntraj) ;</strong></p> <p>init_z:title = "What is init_z ?" ;</p> <p>init_z:longname = "Initial position in k" ;</p> <p>init_z:units = "No dimension" ;</p> <p>init_z:missing_value = 1.e+20 ;</p> <p><strong>double init_t(ntraj) ;</strong></p> <p>init_t:title = "What is init_t ?" ;</p> <p>init_t:longname = "Initial position in l (time)" ;</p> <p>init_t:units = "See global attributes..." ;</p> <p>init_t:missing_value = 1.e+20 ;</p> <p><strong>double init_age(ntraj) ;</strong></p> <p>init_age:title = "What is init_age ?" ;</p> <p>init_age:longname = "Initial age (time)" ;</p> <p>init_age:units = "seconds" ;</p> <p>init_age:missing_value = 1.e+20 ;</p> <p><strong>double init_transp(ntraj) ;</strong></p> <p>init_transp:title = "What is init_transp ?" ;</p> <p>init_transp:longname = "Initial transport" ;</p> <p>init_transp:units = "m3/s" ;</p> <p>init_transp:missing_value = 1.e+20 ;</p> <p><strong>double l_matureage(ntraj) ;</strong></p> <p>l_matureage:title = "What is l_matureage ?" ;</p> <p>l_matureage:longname = "Larval age of maturity" ;</p> <p>l_matureage:units = "days" ;</p> <p>l_matureage:missing_value = 1.e+20 ;</p> <p><strong>double l_descendage(ntraj) ;</strong></p> <p>l_descendage:title = "What is l_descendage ?" ;</p> <p>l_descendage:longname = "Larval age of competency" ;</p> <p>l_descendage:units = "days" ;</p> <p>l_descendage:missing_value = 1.e+20 ;</p> <p><strong>double l_maxspeedup(ntraj) ;</strong></p> <p>l_maxspeedup:title = "What is l_maxspeedup ?" ;</p> <p>l_maxspeedup:longname = "Max upward larval swim speed" ;</p> <p>l_maxspeedup:units = "mm s-1" ;</p> <p>l_maxspeedup:missing_value = 1.e+20 ;</p> <p><strong>double l_maxspeeddown(ntraj) ;</strong></p> <p>l_maxspeeddown:title = "What is l_maxspeeddown ?" ;</p> <p>l_maxspeeddown:longname = "Max downward larval swim speed" ;</p> <p>l_maxspeeddown:units = "mm s-1" ;</p> <p>l_maxspeeddown:missing_value = 1.e+20 ;</p> <p><strong>int l_targetdepth(ntraj) ;</strong></p> <p>l_targetdepth:title = "What is l_targetdepth ?" ;</p> <p>l_targetdepth:longname = "Target shallow depth" ;</p> <p>l_targetdepth:units = "No dimension" ;</p> <p>l_targetdepth:missing_value = -1. ;</p> <p><strong>double final_x(ntraj) ;</strong></p> <p>final_x:title = "What is final_x ?" ;</p> <p>final_x:longname = "Final position in x (or i)" ;</p> <p>final_x:units = "No dimension" ;</p> <p>final_x:missing_value = 1.e+20 ;</p> <p><strong>double final_y(ntraj) ;</strong></p> <p>final_y:title = "What is final_y ?" ;</p> <p>final_y:longname = "Final position in y (or j)" ;</p> <p>final_y:units = "No dimension" ;</p> <p>final_y:missing_value = 1.e+20 ;</p> <p><strong>double final_z(ntraj) </strong>;</p> <p>final_z:title = "What is final_z ?" ;</p> <p>final_z:longname = "Final position in z (or k)" ;</p> <p>final_z:units = "No dimension" ;</p> <p>final_z:missing_value = 1.e+20 ;</p> <p><strong>double final_t(ntraj) ;</strong></p> <p>final_t:title = "What is final_t ?" ;</p> <p>final_t:longname = "Final position in t (time)" ;</p> <p>final_t:units = "See global attributes..." ;</p> <p>final_t:missing_value = 1.e+20 ;</p> <p><strong>double final_age(ntraj) ;</strong></p> <p>final_age:title = "What is fial_age ?" ;</p> <p>final_age:longname = "Final Age." ;</p> <p>final_age:units = "seconds" ;</p> <p>final_age:missing_value = 1.e+20 ;</p> <p><strong>double final_transp(ntraj) ;</strong></p> <p>final_transp:title = "What is final_transp ?" ;</p> <p>final_transp:longname = "Final transport" ;</p> <p>final_transp:units = "m3/s" ;</p> <p>final_transp:missing_value = 1.e+20 ;</p> <p><strong>float traj_lon(nb_output, ntraj) ;</strong></p> <p>traj_lon:title = "What is traj_lon ?" ;</p> <p>traj_lon:longname = "Trajectory: x positions" ;</p> <p>traj_lon:units = "No dimension" ;</p> <p>traj_lon:missing_value = 1.e+20 ;</p> <p><strong>float traj_lat(nb_output, ntraj) ;</strong></p> <p>traj_lat:title = "What is traj_lat ?" ;</p> <p>traj_lat:longname = "Trajectory: y positions" ;</p> <p>traj_lat:units = "No dimension" ;</p> <p>traj_lat:missing_value = 1.e+20 ;</p> <p><strong>float traj_depth(nb_output, ntraj) ;</strong></p> <p>traj_depth:title = "What is traj_depth ?" ;</p> <p>traj_depth:longname = "Trajectory: z positions" ;</p> <p>traj_depth:units = "No dimension" ;</p> <p>traj_depth:missing_value = 1.e+20 ;</p> <p><strong>float traj_time(nb_output, ntraj) ;</strong></p> <p>traj_time:title = "What is traj_time ?" ;</p> <p>traj_time:longname = "Trajectory: time positions" ;</p> <p>traj_time:units = "See global attributes" ;</p> <p>traj_time:missing_value = 1.e+20 ;</p> <p><strong>float traj_iU(nb_output, ntraj) ;</strong></p> <p>traj_iU:title = "ind i on grid U" ;</p> <p>traj_iU:longname = "Trajectory: i on grid U" ;</p> <p>traj_iU:units = "No dimension" ;</p> <p>traj_iU:missing_value = 1.e+20 ;</p> <p><strong>float traj_jV(nb_output, ntraj) ;</strong></p> <p>traj_jV:title = "ind j on grid V" ;</p> <p>traj_jV:longname = "Trajectory: j on grid V" ;</p> <p>traj_jV:units = "No dimension" ;</p> <p>traj_jV:missing_value = 1.e+20 ;</p> <p><strong>float traj_kW(nb_output, ntraj) ;</strong></p> <p>traj_kW:title = "ind k on grid W" ;</p> <p>traj_kW:longname = "Trajectory: k on grid W" ;</p> <p>traj_kW:units = "No dimension" ;</p> <p>traj_kW:missing_value = 1.e+20 ;</p> <p><strong>float traj_temp(nb_output, ntraj) ;</strong></p> <p>traj_temp:title = "What is traj_temp ?" ;</p> <p>traj_temp:longname = "Trajectory: temperatures" ;</p> <p>traj_temp:units = "degres" ;</p> <p>traj_temp:missing_value = 1.e+20 ;</p> <p><strong>float traj_salt(nb_output, ntraj) ;</strong></p> <p>traj_salt:title = "What is traj_salt ?" ;</p> <p>traj_salt:longname = "Trajectory: salinities" ;</p> <p>traj_salt:units = "psu" ;</p> <p>traj_salt:missing_value = 1.e+20 ;</p> <p><strong>float traj_dens(nb_output, ntraj) ;</strong></p> <p>traj_dens:title = "What is traj_dens ?" ;</p> <p>traj_dens:longname = "Trajectory: densities" ;</p> <p>traj_dens:units = "..." ;</p> <p>traj_dens:missing_value = 1.e+20 ;</p> <p> </p> <p>// global attributes:</p> <p>:key_roms = ".FALSE." ;</p> <p>:key_symphonie = ".FALSE." ;</p> <p>:key_B2C_grid = ".FALSE." ;</p> <p>:key_sequential = ".TRUE." ;</p> <p>:key_alltracers = ".TRUE." ;</p> <p>:key_ascii_outputs = ".FALSE." ;</p> <p>:key_iU_jV_kW = ".TRUE." ;</p> <p>:key_read_age = ".FALSE." ;</p> <p>:mode = "qualitative" ;</p> <p>:forback = "backward" ;</p> <p>:bin = "nobin" ;</p> <p>:init_final = "NONE" ;</p> <p>:nmax = 10000000 ;</p> <p>:tunit = 86400. ;</p> <p>:ntfic = 5 ;</p> <p>:tcyc = 1639872000. ;</p> <p>:key_approximatesigma = ".FALSE." ;</p> <p>:key_computesigma = ".TRUE." ;</p> <p>:zsigma = 1000. ;</p> <p>:memory_log = ".TRUE." ;</p> <p>:output_netcdf_large_file = ".FALSE." ;</p> <p>:key_interp_temporal = ".TRUE." ;</p> <p>:maxcycles = 50 ;</p> <p>:delta_t = 86400. ;</p> <p>:frequency = 5 ;</p> <p>:nb_output = 73 ;</p> <p>:mask = ".TRUE." ;</p> <p>:key_region = ".FALSE." ;</p> <p>:key_larvae = ".TRUE." ;</p> <p>:imt = 1784 ;</p> <p>:jmt = 1719 ;</p> <p>:kmt = 46 ;</p> <p>:lmt = 3796 ;</p> <p>:key_computew = ".TRUE." ;</p> <p>:w_surf_option = "" ;</p> <p>:key_partialsteps = ".TRUE." ;</p> <p>:key_jfold = ".FALSE." ;</p> <p>:pivot = "T" ;</p> <p>:key_periodic = ".FALSE." ;</p> <p>:dir_mesh = "./GRID" ;</p> <p>:fn_mesh = "1_mesh_mask.nc" ;</p> <p>:nc_var_xx_tt = "glamt" ;</p> <p>:nc_var_xx_uu = "glamu" ;</p> <p>:nc_var_zz_ww = "gdepw_0" ;</p> <p>:nc_var_e2u = "e2u" ;</p> <p>:nc_var_e1v = "e1v" ;</p> <p>:nc_var_e1t = "e1t" ;</p> <p>:nc_var_e2t = "e2t" ;</p> <p>:nc_var_e3t = "e3t" ;</p> <p>:nc_var_tmask = "tmask" ;</p> <p>:nc_mask_val = 0. ;</p> <p>:c_dir_zo = "./DATA" ;</p> <p>:c_prefix_zo = "V20_nest_5d_" ;</p> <p>:ind0_zo = 1958 ;</p> <p>:indn_zo = 2009 ;</p> <p>:maxsize_zo = 4 ;</p> <p>:c_suffix_zo = "_U.nc" ;</p> <p>:nc_var_zo = "vozocrtx" ;</p> <p>:nc_var_eivu = "NONE" ;</p> <p>:nc_att_mask_zo = "missing_value" ;</p> <p>:c_dir_me = "./DATA" ;</p> <p>:c_prefix_me = "V20_nest_5d_" ;</p> <p>:ind0_me = 1958 ;</p> <p>:indn_me = 2009 ;</p> <p>:maxsize_me = 4 ;</p> <p>:c_suffix_me = "_V.nc" ;</p> <p>:nc_var_me = "vomecrty" ;</p> <p>:nc_var_eivv = "NONE" ;</p> <p>:nc_att_mask_me = "missing_value" ;</p> <p>:c_dir_te = "./DATA" ;</p> <p>:c_prefix_te = "V20_nest_5d_" ;</p> <p>:ind0_te = 1958 ;</p> <p>:indn_te = 2009 ;</p> <p>:maxsize_te = 4 ;</p> <p>:c_suffix_te = "_T.nc" ;</p> <p>:nc_var_te = "votemper" ;</p> <p>:nc_att_mask_te = "missing_value" ;</p> <p>:c_dir_sa = "./DATA" ;</p> <p>:c_prefix_sa = "V20_nest_5d_" ;</p> <p>:ind0_sa = 1958 ;</p> <p>:indn_sa = 2009 ;</p> <p>:maxsize_sa = 4 ;</p> <p>:c_suffix_sa = "_T.nc" ;</p> <p>:nc_var_sa = "vosaline" ;</p> <p>:nc_att_mask_sa = "missing_value" ;</p> <p>}</p> <p> </p>
Fig. 8 in Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand
Fig. 8. Umborotula bogorensis (Weber, 1890). Possible type locality in a pond of the Bogor Botanical Garden (Java). Picture after Arndt (1932).
Fig. 9. A in Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand
Fig. 9. A. Part of the type encrusting on a plant, 1901:10:22:1 of Ephydatia blembingia = Umborotula bogorensis, the Natural History Museum of London. B. Six slides ZMA POR 01551 representing the remains of the type material of Umborotula bogorensis preserved in the Institute for Systematics and Population Biology of the University of Amsterdam.
Fig. 4 in Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand
Fig. 4. Umborotula bogorensis (Weber, 1890) from the Sakaerat Biosphere Reserve, NE Thailand. SEM micrographs. a. Gemmules in a group within skeletal meshes. Gemmular theca with almost flat foraminal area. Several free gemmuloscleres also scattered in the skeletal network. b. Gemmule (basal area, top view) with developed outer layer covering the distal rotules of radial gemmuloscleres. c–d. Gemmules showing foraminal area (central); outer layer is lacking (top view). e. Gemmule without outer layer showing partially dissociated gemmuloscleres in the pneumatic layer and the smooth inner layer of compact spongin. Foramen simple, with short collar. f. Gemmule (cross section) with foraminal tubule and radial gemmuloscleres in the trilayered theca. g. Outer layer at the theca surface with distal rotules of gemmuloscleres. h. Distal rotules of gemmuloscleres without outer layer. i. Proximal rotules of gemmuloscleres adhering to the inner layer of the theca. j–k. Foraminal area supported by a network of spongin fibres and a rosette of radial gemmuloscleres. l. Architecture of trilayered gemmular theca with radial gemmuloscleres and spiny shafts (cross section). m–o. Fibrous network of thin spongin fibres in the pneumatic layer (detail, cross section).
Fig. 5 in Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand
Fig. 5. Umborotula bogorensis (Weber, 1890) from the Sakaerat Biosphere Reserve, NE Thailand. Spicular complement (SEM) of gemmules and skeleton. a. Gemmulosclere birotules armed by large spines. b. Rotule of a gemmulosclere (top view). c. Shafts of gemmuloscleres with large scattered spines. d. Rotules of gemmulosclere (lateral view). e. Megascleres (oxeas) of the skeleton. f. Megascleres, tips. g. Megascleres, shafts.
Fig. 7 in Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand
Fig. 7. Historical trend of faunistic and taxonomic investigations focusing on Umborotula bogorensis (Weber, 1890). The papers mentioning this species are 40. The 15 papers (box) reporting new records are indicated by asterisks. See also Fig. 1 (map) and Appendix.
Fig. 6 in Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand
Fig. 6. Umborotula bogorensis (Weber, 1890) (as Ephydatia bogorensis Weber, 1890 and E. blembingia Evans, 1901). a–c. Diagnostic morphotraits from plates in original descriptions. d–f. Gemmule and spicules (LM) of E. blembingia from the type, BMNH 1901:10:22:1−2. a–b. Modified from Evans (1901). c. Modified from Weber (1890).
Fig. 1 in Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand
Fig. 1. Biogeographic pattern of the monotypic genus Umborotula with published records. The new record from the Sakaerat Biosphere Reserve in NE Thailand (14°30ʹ15.83″ N, 101°55ʹ03.64″ E) is indicated by the green square. For question marks, see text in the historical accounts section. The unpublished records are not reported (see Appendix). Red dots indicate the type localities of Ephydatia bogorensis Weber, 1890 and E. blembingia Evans, 1901.
Fig. 3 in Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand
Fig. 3. Umborotula bogorensis (Weber, 1890) from the Sakaerat Biosphere Reserve, NE Thailand. a. sampling site along a temporary streamlet and pool; arrows indicate the microhabitat of the two recorded specimens. b. Gemmule carpets (arrows) during low water level (dry season). c. Encrusting sponge with gemmules on a stick from the pool.
Fig. 2 in Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand
Fig. 2. Map of Sakaerat Biosphere Reserve in Thailand (modified from Trisurat 2010). The new record of Umborotula bogorensis (Weber, 1890) is indicated by a star.
Fig. 66. Begonia xanthina Hook. A. Dark leaf form. B. Male flowers. C in A revision and one new species of Begonia L. (Begoniaceae, Cucurbitales) in Northeast India
Fig. 66. Begonia xanthina Hook. A. Dark leaf form. B. Male flowers. C. Female flowers. Photographs courtesy of Darrin Norton of a plant in cultivation in a private collection.
Fig. 62 in A revision and one new species of Begonia L. (Begoniaceae, Cucurbitales) in Northeast India
Fig. 62. Illustration of B. watti C.B.Clarke by J. Allen (Clarke 1890). a. Fruit dissection. b. Diagram of fruit cross-section. Image courtesy of RBGE library and Lynsey Wilson.
Fig. 64 in A revision and one new species of Begonia L. (Begoniaceae, Cucurbitales) in Northeast India
Fig. 64. Mature fruit from the types of A. B. wengeri C.E.C.Fisch. B. B. surculigera. Drawn by Rebecca Camfield. A from Wenger 324 (K); B from Kurz s.n. (K000761405).
Fig. 55 in A revision and one new species of Begonia L. (Begoniaceae, Cucurbitales) in Northeast India
Fig. 55. Illustration of B. scintillans Dunn. A. Habit of plant. B. Stamen. C. Style. D. Immature fruit. E. Close up showing hairs. Drawn by Heather Raeburn. A, D–E from Burkill 36928; B–C from Burkill s.n. (K000761475); all K.
Fig. 53 in A revision and one new species of Begonia L. (Begoniaceae, Cucurbitales) in Northeast India
Fig. 53. Begonia roxburghii (Miq.) A.DC. A–B. Plant habit. C. Male inflorescence. D. Female inflorescence. E. Male flower. F–G. Fruit. Photographs A & E by Mark Hughes from a plant in cultivation at Glasgow Botanic Garden (accession 011 007 97), photograph F courtesy of Harun Rashid of a plant in Bangladesh, photograph G courtesy of Pradrip of a plant in Bangladesh, and B–D courtesy of Alfred Joe from a plant in Northeast India.
Fig. 51 in A revision and one new species of Begonia L. (Begoniaceae, Cucurbitales) in Northeast India
Fig. 51. The type illustrations of B. rex Putz. by G. Severeyns (Putzey 1857). Image from the Biodiversity Heritage Library, digitized by the Peter H. Raven Library.
Fig. 49 in A revision and one new species of Begonia L. (Begoniaceae, Cucurbitales) in Northeast India
Fig. 49. Begonia picta Sm. A. Male and female flowers and light leaf form. B. Male and female flowers and buds. C. Male flowers and dark leaf form. Photographs A & B courtesy of Sangeeta Rajbhandary of wild plants in Nepal, photograph C courtesy of Darrin Norton of a cultivated plant in a private collection.
Fig. 44 in A revision and one new species of Begonia L. (Begoniaceae, Cucurbitales) in Northeast India
Fig. 44. Illustration of B. ovatifolia A.DC. A. Habit of plant. B. Stamen. C. Male flower. D. Mature fruit. E. Style. Drawn by Claire Banks. A from Parry 731; B – C, E from Hooker & Thomson 27; D from Clarke 45107A; all K.
ScienceDex guides
Understand access before you commit
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.