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Figs. 3-8 in New species and records of Elateridae from North Pakistan, mostly collected by Guido Sabatinelli in 2011-2012 (Coleoptera).
Figs. 3-8.- Male genitalia in dorsal view. 3, 3a.- Lacon monticola (Candèze, 1897). 4, 4a.- Lanelater bipunctatus (Candèze, 1857). 5, 5a.- Lanelater pakistanicus n. sp. 6, 6a.- Adelocera sabatinellii n. sp. 7, 7a.- Adelocera islamabadensis n. sp. 8, 8a.- Adelocera kundlanensis n. sp.
Figs. 33-38 in New species and records of Elateridae from North Pakistan, mostly collected by Guido Sabatinelli in 2011-2012 (Coleoptera).
Figs. 33-38.- Male genitalia in dorsal view. 33, 33a.- Melanotus opicus Candèze, 1900. 34, 34a.- Melanotus punctosinus Cate, Platia & Schimmel, 2002. 35, 35a.- Melanotus punctosus (Walker, 1854). 36, 36a.- Melanotus riesei Platia & Schimmel, 2001. 37, 37a.- Melanotus villosus (Geoffroy, 1785). 38, 38a.- Priopus vafer (Erichson, 1841).
Figs. 27-32 in New species and records of Elateridae from North Pakistan, mostly collected by Guido Sabatinelli in 2011-2012 (Coleoptera).
Figs. 27-32.- Male genitalia in dorsal view. 27, 27a.- Selatosomus whitei (Candèze, 1900). 28, 28a.- Mulsanteus sabatinellii n. sp. 29, 29a.- Xanthopenthes sabatinellii n. sp. 30, 30a.- Adiaphorus sabatinellii n. sp. 31, 31a.- Melanotus hirticornis (Herbst, 1806). 32, 32a.- Melanotus loebli Platia & Schimmel, 2001.
Figs. 1-2 in New species and records of Elateridae from North Pakistan, mostly collected by Guido Sabatinelli in 2011-2012 (Coleoptera).
Figs. 1-2.- Male genitalia in dorsal view. 1, 1a.- Lacon kurukshetrensis Vats & Kashyap, 1992. 2, 2a.- Lacon modestus (Boisduval, 1835).
Figs. 21-26 in New species and records of Elateridae from North Pakistan, mostly collected by Guido Sabatinelli in 2011-2012 (Coleoptera).
Figs. 21-26.- Male genitalia in dorsal view. 21, 21a.- Heteroderes sabatinellii n. sp.. 22, 22a.- Heteroderes jagemanni n. sp. 23, 23a.- Heteroderes curtus n. sp. 24, 24a.- Heteroderes gallagheri Platia & Schimmel, 1997. 25, 25a.- Heteroderes sericeus Candèze, 1859. 26, 26a.- Denticollis oculatus n. sp.
Figs. 9-14 in New species and records of Elateridae from North Pakistan, mostly collected by Guido Sabatinelli in 2011-2012 (Coleoptera).
Figs. 9-14.- Male genitalia in dorsal view. 9, 9a.- Adelocera foveatus Vats & Kashyap, 1992. 10, 10a.- Agrypnus argentosquamosus Vats & Kashyap, 1992. 11, 11a.- Agrypnus consobrinus (Candèze, 1857). 12, 12a.- Agrypnus ellipticus (Candèze, 1857). 13, 13a.-Agrypnus piger (Candèze, 1889). 14-14a.- Agrypnus transversus (Candèze, 1857).
Figs. 44-50 in New species and records of Elateridae from North Pakistan, mostly collected by Guido Sabatinelli in 2011-2012 (Coleoptera).
Figs. 44-50.- Sclerites of bursa copulatrix. 44.- Lacon brachypterus n. sp. 45.- Lacon monticola (Candèze, 1897). 46, 46a.- Lanelater sabatinellii n. sp. 47.- Lanelater pakistanicus n. sp. 48.- Agrypnus argentosquamosus Vats & Kashyap, 1992. 49.- Agrypnus piger (Candèze, 1889). 50.- Compsolacon triticumunis (Vats & Kashyap, 1992).
Figs. 39-43 in New species and records of Elateridae from North Pakistan, mostly collected by Guido Sabatinelli in 2011-2012 (Coleoptera).
Figs. 39-43.- Male genitalia in dorsal view. 39, 39a.- Cardiophorus doggeri Vats & Chauhan, 1991. 40, 40a.- Dicronychus zianii n. sp. 41, 41a.- Dicronychus eximius (Candèze, 1860). 42, 42a.- Dicronychus unicus (Vats & Chauhan, 1991). 43, 43a.- Craspedostethus ronkayi n. sp.
Fig. 1 Aspidogaster limacoides line drawings from Rutilus rutilus from North Germany. A in Redescription of Aspidogaster limacoides Diesing, 1834 (Aspidogastrea: Aspidogastridae) from freshwater fishes of northern Germany
Fig. 1 Aspidogaster limacoides line drawings from Rutilus rutilus from North Germany. A Dorsal view (scale bar = 500 µm); B ventral view (scale bar = 500 µm); C eggs (scale bar = 50 µm); D cirrus sac (scale bar = 200 µm)
Linear measurements of Aterian tanged stone artifacts from North African collections
<p>Linear measurements collected from Aterian tanged tools from various museum collections in Morocco and France. Edge lengths were computed using photographs of the artifacts and ImageJ. </p>
Unique functional diversity during early Cenozoic mammal radiation of North America
<p>Mammals influence nearly all aspects of energy flow and habitat structure in modern terrestrial ecosystems. However, anthropogenic effects likely have altered mammalian community structure, raising the question of how past perturbations have done so. We use functional diversity to describe how the structure of North American mammal communities changes over the past 66 Ma, an interval spanning the rebound radiation following the K/Pg and several subsequent environmental disruptions including the PETM, the expansion of grassland, and the onset of Pleistocene glaciation. For 264 fossil communities, we examine three aspects of ecological function: functional evenness, functional richness, and functional divergence. Shifts in functional diversity are significantly related to major ecological and environmental transitions. All three measures of functional diversity increase immediately following the extinction of the non-avian dinosaurs, suggesting that high degrees of ecological disturbance can lead to synchronous responses both locally and continentally. Otherwise, the components of functional diversity respond differently to environmental changes and are decoupled for the last ~56 million years.</p>
Satellite-derived crop field boundaries in heterogeneous smallholder-dominated regions in the North of Mozambique
<p>Satellite-based field delineation has rapidly evolved due to recent advances in machine learning for computer vision. However, the scarcity of labeled data for complex and dynamic smallholder landscapes remains a major bottleneck for operational field delineation and downstream applications, particularly in Sub-Saharan Africa. We here provide reference field boundaries collected in the scope of a research project funded by the F.R.S.-FNRS. A detailed description of the data can be found in our corresponding <a href="https://doi.org/10.48550/arXiv.2312.08384">pre-print</a>.</p> <p>The dataset contains multiple files:</p> <ul> <li>sites.gpkg: Vector dataset containing the sampling sites covered by the dataset. We covered 513 sites of 600x600m, or 36 ha each. </li> <li>human_fields_train.gpkg: 1,518 field delineations distributed across 200 sites. Individual fields were manually digitized based on very high resolution satellite imagery in Google Earth Pro. Each polygon contains the corresponding image acquisition date. These fields were used for model training in the paper. </li> <li>human_fields_test.gpkg: 2,199 field delineations distributed across 313 sites. Individual fields were manually digitized based on very high resolution satellite imagery in Google Earth Pro. Each polygon contains the corresponding image acquisition date. These fields were used for evaluation of all experiments described in the paper. </li> <li>pseudo_fields_train.gpkg: 766 pseudo labels obtained from predictions using a <a href="../doi/10.5281/zenodo.7315089">pre-trained FracTAL ResUNet model</a>. The pseudo-labels correspond to the selection using P99(SemCN). For other sets of pseudo-labels please contact us.</li> </ul> <p><strong>Brief description of methods</strong></p> <p>For <strong>site selection</strong>, we developed a stratified random sampling scheme to sample from regions with actively used cropland. To identify these regions, we used an existing map of active and fallow cropland for the growing season of September 2020 through August 2021 (<a href="https://doi.org/10.1016/j.jag.2022.102937">Rufin et al., 2022</a>). We aggregated the map to a 1 ha grid and calculated the proportions of active cropland. We sampled 1,000 sites from regions mapped as containing at least 50% of active cropland within a one-hectare grid cell. We defined a site extent of 600 by 600 meters, or 36 ha, in order to assure that a sufficient number of fields can be delineated, even in regions with comparatively large field size. The selected sites were screened for VHR image quality and acceptable visibility of at least five fields, resulting in 513 sample sites. </p> <p>For <strong>human labels</strong>, we tasked human annotators to collect sparse labels (i.e. at least five fields) per site. We tasked the interpreters to collect only fields containing non-tree crops by systematically excluding tree crop plantations from our data. While individual trees in the field interior were included in our labels, trees overlapping with the field boundaries were avoided and the tree canopy was considered as the field boundary for completing the labels. All field delineations underwent an iterative quality assessment, where 18% of the initial field delineations and 7% of the field delineations in a second iteration were discarded. </p> <p>The <strong>pseudo labels </strong>provided here were selected using the 1% most confident predictions from the pre-trained model. The confidence scores were computed as the median of all pixel-level field extent probabilities for each field instance. </p> <p>For more details please read the corresponding paper:</p> <p>Rufin, Wang, Lisboa, Hemmerling, Tulbure & Meyfroidt, P. (2023). <em>Taking it further: Leveraging pseudo labels for field delineation across label-scarce smallholder regions.</em> <a href="https://doi.org/10.48550/ARXIV.2312.08384">https://doi.org/10.48550/ARXIV.2312.08384</a></p>
Defoliator outbreaks track with warming across the Pacific coastal temperate rainforest of North America
<p>The biogeography of irruptive insect herbivores is determined by host availability and climate conditions. As such, outbreak distributions are sensitive to climatic change, especially across large latitudinal gradients. Here, we investigate the outbreak distributions of two understudied defoliators, hemlock sawfly (Hymenoptera; <em>Neodiprion tsugae</em>) and western blackheaded budworm (Lepidoptera; <em>Acleris gloverana</em>), that have both recently impacted the greatest land area recorded across the Pacific coastal temperate rainforest since the establishment of aerial survey programs. We compiled polygon-based estimates of insect damage collected by aerial observers, forest inventory, and downscaled climatic data to develop gridded estimates of bioclimatic conditions across the extent of the Pacific coastal temperate rainforest, including the continental United States, British Columbia, and Alaska. We leveraged these data to develop ensemble machine learning models with the goal of predicting the outbreak distribution of each insect. In this manuscript we: (1) describe the historical patterns of defoliator outbreaks, (2) identify and describe climatic conditions associated with outbreaks in both species, and (3) assess whether historic outbreaks have tracked geographic shifts in climate conditions across the region. We demonstrate that outbreaks of hemlock sawfly and western blackheaded budworm have been observed across the Pacific coastal temperature rainforests of North America in each decade since the establishment of the Canadian and United States aerial survey programs. The distribution of outbreaks by both insects were best explained by host availability, a limited range of spring, summer, and winter temperatures, and minimum precipitation. Finally, we demonstrate that outbreaks have tracked the poleward shift in suitable climate over the last century. This study establishes a baseline understanding of the climatic constraints and biogeographic patterns of historic sawfly and budworm outbreaks across the Pacific coastal temperate rainforest and emphasizes the overarching importance of climate in driving the irruptive dynamics of these defoliator species.</p>
FIGURE 4. Avicennia germinans. A in Avicennia (Acanthaceae: Avicennioideae) in North America and Mesoamerica
FIGURE 4. Avicennia germinans. A. Habit (composite from photos of living plants). B. Pneumatophore (Schwartz & Nickerson 9119). C. Fertile shoot (Calzada 434, Pipoly 9034, Sousa 3112). D. Inflorescence with flower in profile (Lakela 29824, Sousa 3112). E. Flower, front-view (Lakela 29824, Sousa 3112). F. Stamen (Sousa 3112). G. Gynoecium (Lakela 29824). H. Fruit with detail of surface (Lundell 7009). Drawn by Tom Davis from specimens at CAS.
FIGURE 3. Avicennia spp. A in Avicennia (Acanthaceae: Avicennioideae) in North America and Mesoamerica
FIGURE 3. Avicennia spp. A. Flower of A. germinans in Florida (photo by Bob Peterson, cropped, creative commons license, ). B Flower of A. marina subsp. australasica in Australia (photo by M. Fagg, cropped, source: Australian National Botanic Gardens at ). C. Inflorescence of A. biflora (Sediles 461, CAS). D. Fruits of A. bicolor (top; Barrera 8, CAS), A. germinans showing dehiscence (middle; Ferris 5396, DS), and A. marina subsp. australasica (bottom; Nickerson 6445a from New Zealand, CAS).
FIGURE 2 in Avicennia (Acanthaceae: Avicennioideae) in North America and Mesoamerica
FIGURE 2. Map showing distribution of Avicennia spp. in North America and Mesoamerica. The generalized distribution of A. germinans is shown. The distribution of A. germinans in Cuba and other West Indian islands is not shown.
Figure 4 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)
Figure 4. Mean abundance (individuals/m2) the families more representative of benthic macroinvertebrates at site 3 Las Hortensias in the Allipen river.
Figure 3 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)
Figure 3. Mean abundance (individuals/m2) the families more representative of benthic macroinvertebrates at site 2 Huereré in the Allipen river.
Figure 1 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)
Figure 1. Map of Allipen river, Tolten river basin, La Araucania Region Chile.Where S1 "Melipeuco" (265639 S, 5694829 W), S2: "Huerere" (758774 S- 5681448 W) and S3: "Las Hortensias" (746454 S; 5684086 W) represent the specific sampling stations, respectively.
Figure 2 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)
Figure 2. Mean abundance (individuals/m2) the families more representative of benthic macroinvertebrates at site 1 Melipeuco in the Allipen river.
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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.