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5,875 results for “lively”
Tree regeneration after fire: Delta 1994 burn surveys, Salix live seedling diameters
Data for this study were collected in 2001 and 2002 by Jill Johnstone (University of Alaska Fairbanks) and Eric Kasischke (University of Maryland). Sites were located within the perimeter of the 1994 burn southeast of Delta Junction Alaska, USA, bordering the Alaska Highway to the North and the Gerstle River to the West. Sites were selected from satellite classifications prepared by Eric Kasischke to represent different levels of burn severity and post-fire vegetation canopy greenness (NDVI). Site selection was constrained by road access, and only areas where all trees had been killed by the fire were selected. At each site, a central point was located in an area of visually homogeneous vegetation. Five parallel transects, each 50 m long, were laid out as follows: 1) the first transect started at the central point and followed a randomly-selected compass direction, 2) two additional transects were established parallel to the first, but at a random distance from the central transect up to 25 m distant. Vegetation was sampled in a 2-m wide belt centered on each transect, and soil samples were made at intervals along the transect line. Vegetation measurements included: a) basal diameters of all pre-fire trees greater than 1.3 m in height, b) counts of all post-fire tree seedlings, and c) basal diameters of tree seedlings and willows, measured in a randomly chosen 5x2 m portion of each transect. General notes were made on visual percent cover of different vegetation growth forms at the site. Destructive measurements of tree seedlings and willows made in 2001 were used to develop allometric equations to predict dry biomass from basal diameter. Measurements of soil organic layer depth were made at 5 m intervals with the use of a spade to excavate small chunks of sod. At one randomly-selected sample point per transect, a 10x10 cm sample of the organic layer was collected for bulk density measurements. Bulk density samples were dried in a 60degC oven for 48 hours and then w
Dataset: Knowledge, information needs and behavior regarding HIV and sexually transmitted infections among migrants from sub-Saharan Africa living in Germany: Results of a participatory health research survey.
<p>Dataset for: Koschollek C, Kuehne A, Müllerschön J, Amoah S, Batemona-Abeke H, Dela Bursi T, Mayamba P, Thorlie A, Mputu Tshibadi C, Wangare Greiner V, Bremer V, Santos-Hövener C: Knowledge, information needs and behavior regarding HIV and sexually transmitted infections among migrants from sub-Saharan Africa living in Germany: Results of a participatory health research survey.</p> <p>This dataset has been described in a PLoS One paper and contains all data necessary to replicate the results presented within this paper (10.1371/journal.pone.0227178). Please cite both the paper as well as the DOI of this dataset if you make use of the data.</p>
Brainport, Platooning, platoon with live traffic light
<p><strong>Scenario description</strong>:</p> <p>Platoon formation and platooning, from Helmond to Eindhoven and back to the Automotive Campus.<br> - Starting in urban area with speed limits of 15 and 30 km/h.<br> - Driving East on the Europaweg with speed limits of 50 and 70 km/h. This includes 3 crossings with traffic lights.<br> - Driving on the the N270, along the Automotive Campus. One crossing with traffic lights, just before the A270.<br> - Driving on the A270 (speed limit 100 km/h). Interrupted by one traffic light.<br> - U-turn at the fly-over or at the end of the A270, to return the same way to the Automotive Campus.</p> <p><strong>Session description</strong>:</p> <p>Platoon formation and platooning, with live traffic light data included in planner.<br> - Live traffic light data available for planner<br> - Driver uses the Android app<br> - Starting at default locations<br> - Platooning (CACC and lane keeping) on the A270 when possible.</p> <p><strong>Datasets descriptions</strong>:</p> <p><strong>AUTOPILOT_BrainPort_Platooning_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle</p> <p>This dataset contains e.g. throttlestatus, clutchstatus, brakestatus, brakeforce, wipersstatus, steeringwheel for the vehicle</p> <p><strong>AUTOPILOT_BrainPort_Platooning_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors</p> <p>This dataset contains information about detected object, with absolute coordinates</p> <p><strong>AUTOPILOT_BrainPort_Platooning_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors</p> <p>This dataset contains information about detected object, with relative coordinates</p> <p><strong>AUTOPILOT_BrainPort_Platooning_IotVehicleMessage</strong>: Data sent between all devices, vehicles and services</p> <p>Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle.</p> <p><strong>AUTOPILOT_BrainPort_Platooning_PlatoonFormation</strong>: Data sent from PlatoonService to vehicle</p> <p>This dataset contains information about the route and speed for a specific vehicle for forming a platoon</p> <p><strong>AUTOPILOT_BrainPort_Platooning_PlatooningAction</strong>: Data logged by vehicle</p> <p>This dataset contains information about the current status of the platooning</p> <p><strong>AUTOPILOT_BrainPort_Platooning_PlatooningEvent</strong>: Data logged by vehicle</p> <p>This dataset contains information about the identifiers used for each specific platooning event</p> <p><strong>AUTOPILOT_BrainPort_Platooning_PlatoonStatus</strong>: Data sent by vehicle to PlatoonService</p> <p>This dataset contains information about the current status of the platooning</p> <p><strong>AUTOPILOT_BrainPort_Platooning_PositioningSystem</strong>: Data from GPS on the vehicle</p> <p>This dataset contains speed, longitude, latitude, heading from the GPS</p> <p><strong>AUTOPILOT_BrainPort_Platooning_PositioningSystemResample</strong>: Data from GPS on the vehicle</p> <p>This dataset contains speed,longitude,latitude,heading from the GPS, resampled to 100 milliseconds</p> <p><strong>AUTOPILOT_BrainPort_Platooning_PSInfo</strong>: Data sent by PlatoonService to the vehicle</p> <p>This dataset contains speed and route information for the vehicle to create a platoon</p> <p><strong>AUTOPILOT_BrainPort_Platooning_Target</strong>: Data from sensors on the vehicle</p> <p>Target detection in the vicinity of the host vehicle, by a vehicle sensor or virtual sensor</p> <p><strong>AUTOPILOT_BrainPort_Platooning_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle</p> <p>This dataset contains a.o temperature and battery state of the vehicles</p> <p><strong>AUTOPILOT_BrainPort_Platooning_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle</p> <p>This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors</p> <p><strong>AUTOPILOT_BrainPort_Platooning_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle</p> <p>This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors</p>
Fig. 3 in Molecular assessment of Gymnotus spp. (Gymnotiformes: Gymnotidae) fishing used as live baitfish in the Tietê River, Brazil
Fig. 3. Agarose gel electrophoresis (3.0%) of NlaIII restriction fragments obtained from COI partial PCR amplification. Gymnotus cf. sylvius (1T13, 1T24, 1T20, 1T36, 2T29) and G. cf. cuia (2T13, 2T32 and 2T24). M- 100 bp molecular weight marker (Sinapse Inc). Numbers at fragments indicate estimated molecular weight.
Fig. 2 in Molecular assessment of Gymnotus spp. (Gymnotiformes: Gymnotidae) fishing used as live baitfish in the Tietê River, Brazil
Fig. 2. Neighbor-joining dendrogram of the COI partial sequences of Gymnotus spp. (1T13, 2T29, 1T14, 1T36, 2T26, 2T13, 2T32 and 2T24) collected in the Jacaré-Guaçu River, State of São Paulo, and obtained from GenBank, constructed from the distances of Kimura (K2P). The bootstrap values are indicated on the branches
Fig. 26. Habitus and live colouration. A in Revision of the Australian millipede genus Pogonosternum Jeekel, 1965, with descriptions of two new species (Diplopoda, Polydesmida, Paradoxosomatidae)
Fig. 26. Habitus and live colouration. A. Pogonosternum nigrovirgatum (Carl, 1902), ♂ from Adams Creek Nature Conservation Reserve (SMNG VNR016989). B. P. adrianae Jeeker, 1982, ♂ from Grand Ridge Road (NMV K-13349). C. P. laetificum Jeeker, 1982, ♂ from Toolangi State Forest, Two Hills Road. D. P. jeekeli Decker, sp. nov., ♂ from Warby-Ovens National Park, Taminick Gap Road. E. P. montanum Decker, sp. nov., ♂ (left, NMV K-12183) and ♀ (right, NMV K-13351) from Linden Roth Drive. Scale bars = 5 mm.
Fig. 4 in Two new free-living nematode species (Trefusiina: Trefusiidae) from the Chatham Rise crest, Southwest Pacific Ocean
Fig. 4. Trefusialaimus idrisi sp. nov. Light micrographs. A. Anterior body region of male, lateral view. B. Anterior body region of juvenile, dorsal view. C. Mid-body region of juvenile, showing sperm cells in pseudocoelom. D. Entire male. E. Lateral chord of male, showing round golden inclusions. Arrows point to sperm cells. Scale bar: A-C, E = 15 µm; D = 260 µm.
Fig. 3 in Two new free-living nematode species (Trefusiina: Trefusiidae) from the Chatham Rise crest, Southwest Pacific Ocean
Fig. 3. Trefusialaimus idrisi sp. nov. A. Anterior body region of male. B. Head of male. C. Head of juvenile. D. Right spicule. E. Gubernaculum. F. Male copulatory apparatus. G. Mature sperm. H. Posterior body region of male. Scale bar: A = 40 µm; B-C, G = 20 µm; D-E = 14 µm; F = 28 µm; H = 75 µm.
Fig. 2 in Two new free-living nematode species (Trefusiina: Trefusiidae) from the Chatham Rise crest, Southwest Pacific Ocean
Fig. 2. Trefusia piperata sp. nov. Light micrographs. A. Head region of male, showing buccal cavity, cephalic setae, and clusters of dark granules at base of outer labial setae. B. Spicule and gubernaculum. C. Entire male. Scale bar: A-B = 10 µm; C = 100 µm.
Fig. 1 in Two new free-living nematode species (Trefusiina: Trefusiidae) from the Chatham Rise crest, Southwest Pacific Ocean
Fig. 1. Trefusia piperata sp. nov. A. Anterior body region of female. B. Anterior body region of male. C. Entire female. D. Right spicule and gubernaculum. E. Posterior body region of male. Arrow shows position of vulva. Scale bar: A-B, E = 20 µm; C = 75 µm; D = 8 µm.
Fig. 2. Living snails. A–B. Amphidromus roseolabiatus Fulton, 1896. A in Taxonomic review of the tree snail genus Amphidromus Albers, 1850 (Pulmonata: Camaenidae) in Laos, with the description of two new species
Fig. 2. Living snails. A–B. Amphidromus roseolabiatus Fulton, 1896. A. Typical form from Ban Phavong, Khammouan, Laos (CUMZ 7012). B. Form with white lip from Tam Mung Korn, Bolikhamxay, Laos (CUMZ 7005). C. Amphidromus givenchyi Geret, 1912 from Thad Lor Waterfall, Salavan, Laos (CUMZ 7018). D. Amphidromus syndromoideus sp. nov., holotype from the type locality (CUMZ 7019).
Figs 105–110. Live specimens. Aetana kinabalu group. — 105–106. A in Revision, phylogeny, and microhabitat shifts in the Southeast Asian spider genus Aetana (Araneae, Pholcidae)
Figs 105–110. Live specimens. Aetana kinabalu group. — 105–106. A. lambir Huber, sp. nov., ♂ and ♀ with eggsac from Lambir, Sarawak. — 107–108. A. poring Huber, sp. nov., ♂♂ from Mt. Kinabalu, Sabah. — 109– 110. A. indah Huber, sp. nov., adult and penultimate instar, ♂♂ from Crocker Range, Sabah.
Figs 99–104. Live specimens. Aetana kinabalu group. — 99–103. A. kinabalu Huber, 2005 in Revision, phylogeny, and microhabitat shifts in the Southeast Asian spider genus Aetana (Araneae, Pholcidae)
Figs 99–104. Live specimens. Aetana kinabalu group. — 99–103. A. kinabalu Huber, 2005. ♂ and ♀ with eggsac from Gunung Mulu, Sarawak (99, 100); ♀ with eggsac and ♂ from Crocker Range, Sabah (101, 102); and ♂ from Mt. Kinabalu, Sabah (103). — 104. A. gaya Huber, sp. nov., ♂ from Gaya Island, Sabah.
Figs 6–12. Live specimens. Aetana ocampoi group. 6–7. A in Revision, phylogeny, and microhabitat shifts in the Southeast Asian spider genus Aetana (Araneae, Pholcidae)
Figs 6–12. Live specimens. Aetana ocampoi group. 6–7. A. ocampoi Huber, sp. nov., ♂ from Mt. Isarog, Luzon. 8–9. A. libjo Huber, sp. nov., ♂ and ♀ from Dinagat Island, Mindanao. 10–12. A. baganihan Huber, sp. nov., ♂♂ from Baganighan, Mindanao.
Figs 178–188. Live specimens. Aetana omayan group. — 178–179. A in Revision, phylogeny, and microhabitat shifts in the Southeast Asian spider genus Aetana (Araneae, Pholcidae)
Figs 178–188. Live specimens. Aetana omayan group. — 178–179. A. abadae Huber, sp. nov., ♂ and ♀ with eggsac from Twin Lakes, Negros. — 180–181. A. omayan Huber, 2005, ♂ and ♀ with eggsac from Baguio, Luzon. — 182–183. A. manansalai Huber, sp. nov., ♂ and ♀ from Mt. Banahaw, Luzon. — 184–185. A. lozadae Huber, sp. nov., ♂♂ from Mt. Isarog, Luzon. — 186–188. Female prosomata, showing stridulatory plates (arrows), in A. abadae Huber, sp. nov. (186), A. omayan Huber, 2005 (187) and A. manansalai Huber, sp. nov. (188).
Fig. 31. Living specimens. A in Taxonomic revision of the Andean genus Eulibitia Roewer, 1912 (Arachnida, Opiliones, Cosmetidae), with the description of five new species
Fig. 31. Living specimens. A. Eulibitia scalaris (Sørensen in Henriksen, 1932) comb. nov. (ICN-AO 1208), photograph by Andrés García, Arcabuco, Boyacá Department. B. Eulibitia pollux sp. nov., photograph by M. Medrano, Choachi, Cundinamarca Department.
Figs 3–8. Live specimens and habitats. 3. Artema atlanta Walckenaer, 1837 from Thailand, Ratchaburi. 4–5. A in Daddy-long-leg giants: revision of the spider genus Artema Walckenaer, 1837 (Araneae, Pholcidae)
Figs 3–8. Live specimens and habitats. 3. Artema atlanta Walckenaer, 1837 from Thailand, Ratchaburi. 4–5. A. nephilit sp. nov. from Israel. 6. Typical Artema web mass, in a cave in Petra, Jordan. 7–8. Caves populated by Artema nephilit sp. nov.: Oren Cave, Mount Karmel (7) and caves in the Eilat Mountains (8), Israel. Photos: BAH (3–4, 6–8), SA (5).
#IDL2019 - Live ITW with Hervé Bercegol, SUNRISE Deputy Coordinator
<p>Live interview with Hervé Bercegol, deputy coordinator of SUNRISE on sunlight's key role for sustainable development, on the occasion of the International Day of Light (16/05)</p>
Towards Sustainable Energy - Live ITW with Antonín Vlček
<p>In the coming years, we will need to replace fossil fuels by sustainable energy sources. What should be the next steps towards this shift? Don't miss our live ITW with our partner Prof. Dr. Antonín Vlček from Queen Mary University of London & J. Heyrovsky Institute of Physical chemistry, during our consortium meeting in Brussels!</p>
#IDL2019 - Live ITW with Hervé Bercegol, SUNRISE Deputy Coordinator
<p>Live ITW with Hervé Bercegol, deputy coordinator of SUNRISE on sunlight's key role for sustainable development, on the occasion of the International Day of Light (16/05)</p>
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.