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132 results for “locusts”
Tetrode recording from the antennal lobe of a locust (Schistocerca americana)
<p><span>1</span></p> <p>1</p> <p>1A tetrode recording from the antennal lobe (the first olfactory relay) of a locust, Schistocerca americana. 20 seconds of data are contained in the file in HDF5 format. The data were filtered (before A/D conversion) between 300 and 5000 Hz and sampled at 15 kHz. See Pouzat, Mazor and Laurent (2002) Journal of Neuroscience Methods 122(1): 43--57 for recording details.</p>
Extracellular recordings from a locust (Schistocerca americana) antennal lobe.
<p>Raw data from a tetrode recording from the antennal lobe (the first olfactory relay) of a locust, Schistocerca americana.</p> <p>The data were filtered (before A/D conversion) between 300 and 5000 Hz and sampled at 15 kHz. See Pouzat, Mazor and Laurent (2002) Journal of Neuroscience Methods 122(1): 43--57 for recording details. The data were recorded with a "Michigan probe", now sold by NeuroNexus (http://neuronexus.com/). A picture of the probe--made of 16 channels making 4 tetrodes--can be seen on slide 3 of DOI:10.5281/zenodo.14660. Good data were visible only on one of the tetrodes made of channel 9 / 11 / 13 / 16 and only data from these channels were recorded. The "LabBook" attribute contains transcript of the actual lab book with details about the acquisition. In short: 1 hour and 40 minutes of spontaneous activity was recorded as well as responses to 150 stimulation with citral.</p> <p>Each data set has a "log_file_content" attribute containing a copy of actual log file automatically generated during the acquisition. The stimulation protocol as well as the precise times of beginning and end of trial acquisition can be found there.</p> <p>The data are in HDF5 format (http://www.hdfgroup.org/HDF5/).</p> <p>Recordings performed by Christophe Pouzat and Ofer Mazor in the laboratory of Gilles Laurent (California Institute of Technology) in February 2001.</p>
Extracellular recordings from the locust, Schistocerca americana, olfactory pathway
<p>This depository contains raw data from 14 experiments performed on adult locusts. The data are contained in HDF5 files (http://www.hdfgroup.org/HDF5/). They are stored as compressed integers coded on 16 bits as they came out of the A/D card. Recording details can be found in Pouzat, Mazor and Laurent (2002) Using noise signature to optimize spike-sorting and to assess neuronal classification quality. <em>Journal of Neuroscience Methods</em> <strong>122</strong>: 43-57 (a pre-print version is available: http://xtof.perso.math.cnrs.fr/pdf/Pouzat+:2002.pdf). Each data file is subdivided in Groups corresponding the type of acquisition performed: one or several epochs of spontaneous activity recording; repetitive stimulation with a given odor. Each group is made of one (if say a single epoch of 60 seconds of spontaneous recording was made) or several (if say 100 stimulation with Citral were made) (sub-)groups containing the data of all the channels that were recorded during that epoch. Each of these sub-groups is made of 4 to 16 data sets: 1 dimensional arrays containing the raw data recorded from one of the 16 channels of our probe (made of 4 tetrodes) during a single acquisition epoch. All channels were sampled at 15 kHz. Each data file has attributes (metadata) README and LabBook. The first, README contains a shortened version of the present text; the second, LabBook contains a transcript of the lab book corresponding to the experiment. Most groups have a log_file_content attribute. This attribute contains a copy a text file that was automatically generated during data acquisition. Some recording details can be found there as well as the precise time and data of each recorded epoch. The data were kept for 14 years on CDs and about a third of the recordings got lost because of CD corruption! What's left still make 15 GBytes of data after compression: a substantial amount. This CD corruption explains why some groups don't have a log_file_content attribute: it was on a corrupted CD.</p> <p>Of the 14 experiments, 12 contain antennal lobe (the first olfactory relay of insects) recordings, 1 contains antennal lobe and alpha lobe recordings and 1 contains only alpha lobe recordings. Here the alpha lobe location should be taken with a little bit of caution since the latter is not as easy to locate as the antennal lobe in the locust. All data files start with the locust prefix, followed by the experiment year, month and date, like locust20000214.hdf5 an experiment performed on February 14 2000. Due to file size restriction on Zenodo, two experiments are split into two data files: locust20010124b_part1.hdf5 and locust20010124b_part2.hdf5 as well as locust20010214_part1.hdf5 and locust20010214_part2.hdf5. On two dates, two different experiments were performed: locust20010124a.hdf5 and locust20010124b_part1.hdf5 / locust20010124b_part2.hdf5 as well as locust20010208a.hdf5 and locust20010208b.hdf5. When a stimulation was applied, the following code is used: Odor name / Number of stimulation / Inter-stimulation interval / duration before the odor pulse / odor pulse duration / post pulse duration [odor dilution when several dilutions were used]. All times are in seconds.</p> <p>A very brief description at the group level of the files content follows (see the LabBook attribute of each individual file for details):</p> <ol> <li><strong>locust20000214.hdf5</strong>: <ul> <li>Citral / 70 / 30 / 3 / 0.5 / 6.5</li> <li>Cherry / 120 / 30 / 3 / 0.5 / 6.5</li> <li>Octaldehyde / 60 / 30 / 3 / 0.5 / 6.5</li> </ul> </li> <li><strong>locust20000421.hdf5</strong>: <ul> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>1-Hexanol / 30 / 10 / 3 / 1 / 5.5</li> <li>Hexanal / 25 / 10 / 3 / 1 / 5.5</li> <li>Cis-3-hexen-1-ol / 25 / 10 / 3 / 1 / 5.5</li> <li>Trans-2-hexen-1-ol / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Hexen-3-ol / 25 / 10 / 3 / 1 / 5.5</li> <li>3-Pentanone / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Heptanol / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5</li> <li>2-Heptanone / 25 / 10 / 3 / 1 / 5.5</li> <li>3-Heptanone / 25 / 10 / 3 / 1 / 5.5</li> <li>Citral / 25 / 10 / 3 / 1 / 5.5</li> <li>Apple / 25 / 10 / 3 / 1 / 5.5</li> <li>Mint / 25 / 10 / 3 / 1 / 5.5</li> <li>Strawberry / 25 / 10 / 3 / 1 / 5.5</li> <li>Octaldehyde / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [10^-5]</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [10^-4]</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [10^-3]</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [10^-2]</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [10^-1]</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [1]</li> </ul> </li> <li><strong>locust20000423.hdf5</strong>: <ul> <li>Spontaneous first: 60 seconds of spontaneous activity</li> <li>1-Hexanol / 25 / 10 / 3 / 1 / 5.5</li> <li>Hexanal / 25 / 10 / 3 / 1 / 5.5</li> <li>Cis-3-hexen-1-ol / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Hexen-3-ol / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Heptanol / 25 / 10 / 3 / 1 / 5.5</li> <li>2-Heptanone / 25 / 10 / 3 / 1 / 5.5</li> <li>3-Heptanone / 25 / 10 / 3 / 1 / 5.5</li> <li>Citral / 25 / 10 / 3 / 1 / 5.5</li> <li>Apple / 25 / 10 / 3 / 1 / 5.5</li> <li>Amyl Acetate / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Hexanol / 25 / 10 / 3 / 1 / 5.5</li> <li>Spontaneous second: 60 seconds of spontaneous activity</li> </ul> </li> <li><strong>locust20000613.hdf5</strong>: <ul> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1]</li> <li>Cis-3-hexen-1-ol / 10 / 30 / 3 / 1 / 16 [1/100]</li> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1/10]</li> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1]</li> <li>Cherry / 21 / 30 / 3 / 1 / 16</li> </ul> </li> <li><strong>locust20000616.hdf5</strong>: <ul> <li>Spontaneous first: 60 seconds of spontaneous activity</li> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1]</li> <li>Spontaneous second: 60 seconds of spontaneous activity</li> <li>Spontaneous third: 60 seconds of spontaneous activity</li> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1/100]</li> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1/10]</li> </ul> </li> <li><strong>locust20000901.hdf5</strong>: <ul> <li>Vanilla / 5 / 30 / 3 / 1 / 16</li> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>Cherry / 30 / 30 / 3 / 1 / 16</li> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>Benzaldehyde / 30 / 30 / 3 / 1 / 16</li> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>Mint / 20 / 30 / 3 / 1 / 16</li> <li>Hexanal / 15 / 30 / 3 / 1 / 16</li> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>Cis-3-hexen-1-ol / 30 / 30 / 3 / 1 / 16</li> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>Trans-2-hexen-1-ol / 30 / 30 / 3 / 1 / 16</li> </ul> </li> <li><strong>locust20010124a.hdf5</strong>: <ul> <li>Spontaneous: 2x29 seconds of spontaneous activity</li> <li>Spontaneous: 60x29 seconds of spontaneous activity</li> <li>Spontaneous: 80x29 seconds of spontaneous activity</li> </ul> </li> <li><strong>locust20010124b_part1.hdf5</strong> and <strong>locust20010124b_part2.hdf5</strong>: <ul> <li>Spontaneous: 60x29 seconds of spontaneous activity</li> <li>Spontaneous: 191x29 seconds of spontaneous activity</li> <li>Spontaneous: 59x29 seconds of spontaneous activity</li> </ul> </li> <li><strong>locust20010131.hdf5</strong>: <ul> <li>Spontaneous: 90x29 seconds of spontaneous activity</li> <li>Spontaneous: 70x29 seconds of spontaneous activity</li> <li>Spontaneous: 5x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>WithoutAntenna: 3x59 seconds of spontaneous activity (after antennal nerve cut)</li> <li>WithoutAntenna: 3x59 seconds of spontaneous activity (after antennal nerve cut)</li> <li>WithoutAntenna: 3x59 seconds of spontaneous activity (after antennal nerve cut)</li> </ul> </li> <li><strong>locust20010201</strong>: <ul> <li>Continuous: 90x29 seconds of spontaneous activity</li> <li>Continuous: 20x29 seconds of spontaneous activity</li> <li>Citral / 50 / 30 / 3 / 1 / 25</li> <li>Citral / 50 / 30 / 10 / 1 / 18</li> <li>Citral / 50 / 30 / 10 / 1 / 18</li> <li>Continuous: 50x29 seconds of spontaneous activity</li> <li>Continuous: 45x29 seconds of spontaneous activity</li> </ul> </li> <li><strong>locust20010208a.hdf5</strong>: <ul> <li>Spontaneous: 50x29 seconds of spontaneous activity</li> <li>Spontaneous: 80x29 seconds of spontaneous activity</li> </ul> </li> <li><strong>locust20010208b.hdf5</strong>: <ul> <li>Spontaneous: 50x29 seconds of spontaneous activity</li> <li>Spontaneous: 50x29 seconds of spontaneous activity</li> <li>Citral / 50 / 30 / 10 / 1 / 18</li> <li>Citral / 120 / 30 / 10 / 1 / 18</li> <li>Citral / 50 / 30 / 10 / 1 / 18</li> <li>Citral / 25 / 30 / 10 / 1 / 18</li> </ul> </li> <li><strong>locust20010214_part1.hdf5</strong> and <strong>locust20010214_part2.hdf5</strong>: <ul> <li>Spontaneous: 30x29 seconds of spontaneous activity</li> <li>Spontaneous: 30x29 seconds of spontaneous activity</li> <li>Cis-3-hexen-1-ol / 25 / 30 / 10 / 1 / 18</li> <li>Citral / 25 / 30 / 10 / 1 / 18</li> <li>Vanilla / 25 / 30 / 10 / 1 / 18</li> <li>Octanol / 25 / 30 / 10 / 1 / 18</li> <li>Mint / 25 / 30 / 10 / 1 / 18</li> <li>Cis-3-hexen-1-ol / 25 / 30 / 10 / 1 / 18</li> <li>Spontaneous: 30x29 seconds of spontaneous activity</li> <li>Spontaneous: 30x29 seconds of spontaneous activity</li> <li>Cis-3-hexen-1-ol / 30 / 30 / 10 / 1 / 18</li> <li>Cis-3-hexen-1-ol / 11 / 30 / 10 / 1 / 18</li> <li>Cis-3-hexen-1-ol / 30 / 30 / 10 / 1 / 18</li> <li>Cis-3-hexen-1-ol / 30 / 30 / 10 / 1 / 18</li> </ul> </li> <li><strong>locust20010217.hdf5</strong>: <ul> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 2x29 seconds of spontaneous activity</li> <li>Spontaneous: 30x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> </ul> </li> </ol>
Dataset for "Olfactory system structure and function in newly hatched and adult locusts"
<p>This directory contains data for the article "Olfactory System Structure and Function in Newly Hatched and Adult Locusts" by Sun, Kui, Subhasis Ray, Nitin Gupta, Zane N. Aldworth, and Mark A. Stopfer. 2023.</p><p>- The folders with extension .zarr can be read with xarray package as Datasets.</p><p>- The files with extension .mat are matlab data files.</p>
Data from: Linking land use and the nutritional ecology of herbivores: a case study with the Senegalese locust
1) Access to high-quality food is a main driver of population dynamics. For herbivores protein and carbohydrates are key nutrients that are notoriously variable in plants and are affected by land use. However, few studies have linked foraging decisions and performance in the laboratory to the nutritional landscape available in the field. 2) <i>Oedaleus senegalensis</i> is a nonmodel locust, a grass-feeder, and the main pest of millet, a subsistence crop in the Sahel. In this study, we examined dietary preference and locust performance across a range of protein:carbohydrate ratios using the Geometric Framework methodology. We then applied a fitness landscape approach to visualize these results with the plant nutrient contents available across four land-use types: millet, groundnut, fallow, and grazed fields. Finally, we contrasted our results with locust distribution in the field. Several locust species (<i>O. senegalensis</i> included) exhibit density dependent color polymorphism thus we also reported individual coloration (brown or green). 3) We found that <i>O. senegalensis</i> preferred moderately carbohydrate-biased food 1:1.6 protein: carbohydrate ratio. All traits recorded (mass gain, development time, growth rate, molt success, and performance index) were best near that ratio and declined on either side presenting a "hump-shape". Fallow fields contained more plants, particularly grasses, that were both abundant and closer to the optimal protein:carbohydrate ratio recorded from the lab experiments. 4) When we surveyed <i>O. senegalensis</i> abundance and proportion, we found that they were more numerous in the fallow fields. Brown morph individuals, the ones associated with high density, were proportionally more abundant in fallow fields than green individuals. 5) Our study provides evidence that variation in nutritional landscapes—relative to an herbivore's optimal nutrient balance—is a key driver of herbivore population distribution and abundance, and can be used to predict bottom-up effects on herbivore species. protein:carbohydrate ratio recorded from the lab experiments.
Anisotropic interaction and motion states of locusts in a hopper band
<p>Swarming locusts present a quintessential example of animal collective motion. Juvenile locusts march and hop across the ground in coordinated groups called hopper bands. Composed of up to millions of insects, hopper bands exhibit coordinated motion and various collective structures. These groups are well-documented in the field, but the individual insects themselves are typically studied in much smaller groups in laboratory experiments. We present the first trajectory data that detail the movement of individual locusts within a hopper band in a natural setting. Using automated video tracking, we derive our data from footage of four distinct hopper bands of the Australian plague locust, <em>Chortoicetes terminifera</em>. We reconstruct nearly twenty-thousand individual trajectories composed of over 3.3 million locust positions. We classify these data into three motion states: stationary, walking, and hopping. Distributions of relative neighbor positions reveal anisotropies that depend on motion state. Stationary locusts have high-density areas distributed around them apparently at random. Walking locusts have a low-density area in front of them. Hopping locusts have low-density areas in front and behind them. Our results suggest novel interactions, namely that locusts change their motion to avoid colliding with neighbors in front of them.</p>
Fig. 1–4 in A New Species Of The Genus Eurytoma (Hymenoptera, Chalcidoidea, Eurytomidae) From The Seeds Of Honey Locust Gleditsia Triacanthos (Caesalpiniaceae) In Ukraine
Fig. 1–4. Eurytoma gleditsiae: 1 — adult, lateral view; 2 — head, frontal view; 3 — fore wing; 4 — seed of Gleditsia triacanthos with a body of Eurytoma gleditsiae and dead pupa of Megabruchidius dorsalis.
GLAD42 - Global Locust Attack Dataset for 42 countries
<p>This dataset is compiled by collecting Locust attack data of 42 countries from 1985 to 2020 from FAO and environemntal features data for the same countries and same time period from TerraClimate website.</p> <p>This dataset have Target variable Locustpresent which has two classes yes and no. Moreover independent features have coutries, regions, start year, start date, Precipitation, Soil moisture and maximum temperature. This dataset is useful for predicting locust attack across 42 countries </p>
Data from: Linking land use and the nutritional ecology of herbivores: a case study with the Senegalese locust
Open the record for dataset details and reuse information.
Anisotropic interaction and motion states of locusts in a hopper band
Open the record for dataset details and reuse information.
Gleditsia triacanthos (honey locust) field experiments in Southern Appalachian Mountains region
Gleditsia triacanthos seeds were planted at field sites in the Southern Appalachian Mountains region to examine whether recruitment was habitat limited. Sites contain mixed open (fields) and closed (early to mid-successional forest) habitats, and the riverine geomorphology includes riparian terraces and wet floodplain depressions. Three habitat types - forest edge, floodplain and riparian; were chosen to expose seeds to soil moisture, temperature and light gradients. Measurements of germination success, seedling height, soil moisture, soil temperature, diffuse light, and vegetation cover were taken.
Gleditsia triacanthos (honey locust) greenhouse experiment
Gleditsia seeds were tested for germination success with moisture and light treatments. Seeds were extracted from the fruit pulp, scarified, and placed in a peat medium and exposed to varying degrees of sunlight and soil moisture.
Data from: Nutritional imbalance suppresses migratory phenotypes of the Mongolian locust (Oedaleus asiaticus)
For many species, migration evolves to allow organisms to access better resources. However, the proximate factors that trigger these developmental changes, and how and why these vary across species, remain poorly understood. One prominent hypothesis is that poor-quality food promotes development of migratory phenotypes and this has been clearly shown for some polyphenic insects. In other animals, particularly long-distance bird migrants, it is clear that high-quality food is required to prepare animals for a successful migration. We tested the effect of diet quality on the flight behaviour and morphology of the Mongolian locust, Oedaleus asiaticus. Locusts reared at high population density and fed low-N grass (performance-enhancing for this species) had enhanced migratory morphology relative to locusts fed high-N grass. Furthermore, locusts fed synthetic diets with an optimal 1 : 2 protein : carbohydrate ratio flew for longer times than locusts fed diets with lower or higher protein : carbohydrate ratios. In contrast to the hypothesis that performance-degrading food should enhance migration, our results support the more nuanced hypothesis that high-quality diets promote development of migratory characteristics when migration is physiologically challenging.
Locust Effigy Bead
Locust Effigy Bead "Bertha Hale Bead" Oolitic Chert? Middle Archaic Period 8000-5000 BCE Macon Ridge, Louisiana 1616 Photos in 64 stacks. Sony a7ii, Laowa 85mm f/5.6 X2 Macro. ISO 100, 1/80th, f/11 Lightroom, HeliconFocus, Metashape Photography scale by [Mikail Antonov](https://sketchfab.com/xeofox) Source: Objaverse 1.0 / Sketchfab
Comparative analysis of phenotypic plasticity sheds light on the evolution and molecular underpinnings of locust phase polyphenism
<p>Locusts exhibit one of nature's most spectacular examples of complex phenotypic plasticity, in which changes in density cause solitary and cryptic individuals to transform into gregarious and conspicuous locusts forming large migrating swarms. We investigated how these coordinated alternative phenotypes might have evolved by studying the Central American locust and three closely related non-swarming grasshoppers in a comparative framework. By experimentally isolating and crowding during nymphal development, we induced density-dependent phenotypic plasticity and quantified the resulting behavioural, morphological, and molecular reaction norms. All four species exhibited clear plasticity, but the individual reaction norms varied among species and showed different magnitudes. Transcriptomic responses were species-specific, but density-responsive genes were functionally similar across species. There were modules of co-expressed genes that were highly correlated with plastic reaction norms, revealing a potential molecular basis of density-dependent phenotypic plasticity. These findings collectively highlight the importance of studying multiple reaction norms from a comparative perspective.</p>
Data and code for: Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts
<p>Data and code for "Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts," accepted in <em>Ecological Monographs</em></p>
Synergistic olfactory processing for social plasticity in desert locusts
<p>Desert locust plagues threaten the food security of millions. Central to their formation is crowding-induced plasticity, with social phenotypes changing from cryptic (solitarious) to swarming (gregarious). Here, we elucidate the implications of this transition on foraging decisions and corresponding neural circuits. We use behavioral experiments and Bayesian modeling to decompose the multi-modal facets of foraging, revealing olfactory social cues as critical. To this end, we investigate how corresponding odors are encoded in the locust olfactory system using in-vivo calcium imaging. We discover crowding-dependent synergistic interactions between food-related and social odors distributed across stable combinatorial response maps. The observed synergy was specific to the gregarious phase and manifested in distinct odor response motifs. Our results suggest a crowding-induced modulation of the locust olfactory system that enhances food detection in swarms. Overall, we demonstrate how linking sensory adaptations to behaviorally relevant tasks can improve our understanding of social modulation in non-model organisms.</p>
Fig. 1 in Incidence of the desert locust Schistocerca gregaria (Forskṏl, 1775) (Cyrtacanthacridinae: Acrididae: Orthoptera) in the Thar Desert, Sindh (Pakistan).
Fig. 1.- Schistocerca gregaria (Forskṏl).
Map I in Incidence of the desert locust Schistocerca gregaria (Forskṏl, 1775) (Cyrtacanthacridinae: Acrididae: Orthoptera) in the Thar Desert, Sindh (Pakistan).
Map I.- Incidence of the desert locust in Thar Desert (Pakistan).
SBF-SEM Dataset of Locust Lobula
<p>SBF-SEM dataset of locust lobula, of 500 sections at 60nm thickness. Images are 6000x6000 pixels at 8.7nm resolution. </p>
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