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Fig. 15 in On Trimeresurus sumatranus (Raffles, 1822), with the designation of a neotype and the description of a new species of pitviper from Sumatra (Squamata: Viperidae: Crotalinae)
Fig. 15. Habitat of Trimeresurus gunaleni spec. nov. Photo: D. Gunalen.
Fig. 15 in The choristoderan reptile Monjurosuchus from the Early Cretaceous of Japan
Fig. 15. Life reconstruction of the Japanese Monjurosuchus.
25 Jahre durchgehende Wetterdaten aus Offenburg (1998-2022) in 15-Minuten- und Stunden-Schritten
<p>Im Rahmen des Forschungsprojekts BUiLD.DIGTiZED wurde aus den Messdaten der Wetterstation an der Hochschule Offenburg (HSO), ein validierter, vollständiger und durchgehender Datensatz von Wetterdaten für die Jahre 1998 bis einschließlich 2022 erstellt. Der Datensatz wird für Forschungszwecke öffentlich zugänglich gemacht und ebenfalls am Institut für nachhaltige Energiesysteme an der Hochschule Offenburg verwendet. </p> <p>Der vorliegende Datensatz enthält folgende Messparameter:</p> <ul> <li>air_pressure: Luftdruck in hPa</li> <li>air_temperature: Lufttemperatur der Außenluft in °C</li> <li>global_irr: Globalstrahlung horizontal in W/m^2</li> <li>diff_irr: Diffusstrahlung in W/m^2</li> <li>rain: Niderschlag in mm</li> <li>rel_humidity: Relative Luftfeuchte in %</li> <li>absolute_humidity: Absolute Luftfeuchte in g/m^3</li> <li>wind_direction: Windrichtung in ° (N0 W270)</li> <li>wind_speed: Windgeschwindigkeit in m/s</li> </ul> <p>Die Wetterstation der Hochschule Offenburg wurde von Prof. Dr. M. Wülker und Dipl.-Ing. (FH) K. Böhler konzipiert und aufgebaut. Aktuell wird die Wetterstation durch das Institut für nachhaltige Energiesysteme (INES) betrieben. Der hierfür verantwortliche Ansprechpartner ist J. A. Braun, M.Sc.</p>
Figure 15 in Paleobiology Database User Guide Version 1.0
Figure 15. Paleobiology Database Main Menu
Solar and Wind Energy Drought Data for 15 BAs in the CONUS
<p><strong>Solar and wind energy drought data for 15 BAs in the CONUS</strong></p> <p>This dataset has 2 components, (1) physically consistent wind, solar and load data for 15 Balancing Authorities (BAs) in the CONUS and (2) pre-computed BA-level energy droughts for a variety of time scales from 1 hour to 5 days. The generation and load data is aggregated from plant level data based on EIA-860 2020 infrastructure. </p> <p>For more information please refer to Bracken et al. 2023, Standardized Benchmark of Historical Compound Wind and Solar Energy Droughts Across the Continental United States, in prep, or refer to the Github repository https://github.com/GODEEEP/energy-droughts</p> <p><strong>Wind, solar and load data</strong></p> <p>The data is broken up with one csv file per time scale, the available time scales are 1-hour, 4-hour, 12-hour, 1-day, 2-day, 3-day, and 5-day. Each file has the following columns</p> <ul> <li>ba - Abbreviated name for the BA </li> <li>year - The current year as an integer</li> <li>period - A unique integer for the current time step</li> <li>solar_gen_mwh - Aggregated solar generation in units of MWh</li> <li>solar_capacity_mwh - Aggregated solar plant capacity expresed as MWh </li> <li>wind_gen_mwh - Aggregated wind generation in units of MWh</li> <li>wind_capacity_mwh - Aggregated wind plant capacity expresed as MWh </li> <li>load_mwh - BA load in MWh</li> <li>load_max_mwh - The maximum BA load over the entire historical period</li> <li>datetime_utc - Time stamp for the current time step, in UTC, All time stamps are beginning of period. </li> <li>timezone - The predominant time zone for the BA</li> <li>wind_cf - Wind capacity factor, wind_gen_mwh/wind_capacity_mwh</li> <li>solar_cf - Solar capacity factor, wind_gen_mwh/wind_capacity_mwh </li> <li>load_cf - Load "capacity factor", expresed as a fraction of the maximum BA load, load_mwh/load_max_mwh </li> </ul> <p><strong>Energy drought data</strong></p> <p>Several kinds of energy droughts are available</p> <ul> <li><strong>lws</strong> - Load, wind, and solar compound droughts defined using a moving 10th percentile threshold based on the week of the year</li> <li><strong>rl</strong> - Residual load (load minus wind and solar gen) droughts defined using a moving 10th percentile threshold based on the week of the year</li> <li><strong>solar</strong> - Solar only droughts defined using a moving 10th percentile threshold based on the week of the year</li> <li><strong>solar_fixed</strong> - Solar only droughts defined using a single 10th percentile threshold </li> <li><strong>wind</strong> - Wind only droughts defined using a moving 10th percentile threshold based on the week of the year</li> <li><strong>wind_fixed</strong> - Wind only droughts defined using a single 10th percentile threshold </li> <li><strong>ws</strong> - Wind only droughts defined using a moving 10th percentile threshold based on the week of the year</li> <li><strong>ws_fixed</strong> - Wind and solar droughts defined using a single 10th percentile threshold </li> </ul> <p>Each drought type and time scale is in a csv file with the following columns (not all columns are available for every drought type)</p> <ul> <li>ba - Abbreviated name for the BA </li> <li>run_id - unique id for each drought event</li> <li>datetime_utc - Date stamp for the start of the drought, in UTC</li> <li>timezone - The predominant time zone for the BA</li> <li>run_length - The length of a drought in time steps</li> <li>run_length_days - The length of the drought in days</li> <li>severity_ws - Drought severity for wind and solar droughts, computed using the compound drought magnitude metric</li> <li>severity_lws - Drought severity load, wind, and solar droughts, computed using the compound drought magnitude metric</li> <li>severity_mwh - Drought severity expressed as MWh</li> <li>zero_prob - For solar, this value indicates if the timestep has zero probability of solar production, i.e. night time</li> <li>year - The year of the timestep</li> <li>month - The month of the timestep </li> <li>hour - The hour of the timestep </li> <li>wind_cf - Wind capacity factor for the drought</li> <li>solar_cf - Solar capacity factor for the drought </li> <li>srepi_solar - Standardized renewable energy production index for solar</li> <li>srepi_wind - Standardized renewable energy production index for wind</li> </ul> <p>This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL).</p> <p>PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.</p> <p> </p>
Figure 5. Grades 12 and 15 in A deeper phylogeny of jumping spiders (Araneae: Salticidae)
Figure 5. Grades 12 and 15. The Ecdysozoa links nematodes, nematomorphs and arthropods to a common ancestor with the ability to shed a protective trilaminate cuticle as it grew. With panarthropods like this minute, aquatic tardigrade, we see the appearance of paired, segmental appendages.
GPS-synchronized recordings of 15 MHz during October 2, 2024 eclipse from Tortel, Aysén, Chile
Open the record for dataset details and reuse information.
Fig. 15 in Revision of Ganomymar De Santis, 1972, a remarkable genus of Mymaridae (Hymenoptera, Chalcidoidea) from Madagascar
Fig. 15. Ganomymar zuparkoi sp. nov., ♀, holotype (CAS). Mesosoma, metasoma and legs.
Figures 15-16 in A new jumping spider genus from South and Southeast Asia (Araneae: Salticidae: Plexippini: Orientattus)
Figures 15-16. Living adult female Orientattus aurantius at Mysore, Karnataka, India. Photographs by Abhijith A.P.C., used with permission.
Figures 15-16 in New records of the genus Xanthofreya Edwards from Colombia (Salticidae: Freyina)
Figures 15-16. Known distribution of the species of the genus Xanthofreya in Colombia. 15, Localities near the Carribean coast of Colombia. 16, Detail of white inset rectangle in (15). Background satellite images (OCT 2004) courtesy of the NASA Blue Marble Next Generation project.
Figure 15 in Maratus fimbriatus, a new peacock spider from the Darling Riverine Plains of New South Wales, with a review of the Maratus chrysomelas group (Araneae: Salticidae: Euophryini)
Figure 15. Views of the type locality near Nyngan, New South Wales, featuring a riverine plain woodland (NSW 2016c).
Figure 15 in Maratus elephans, a new member of the volans group from New South Wales (Araneae: Salticidae: Euophryinae)
Figure 15. Displaying males of the three species associated with the volans group of the genus Maratus. 1-3, M. elephans from Andersons Flat near Chaffey Dam, NSW. 4-6, Three different M. pardus from Cape Le Grand National Park, WA. 7-9, Three different M. volans from Ku-ring-gai Chase National Park, NSW. The position of legs III relative to the fan varies in the three species from (2) one leg in front and one behind in M. elephans, to (5) both legs in front in M. pardus, to (8) both legs behind in M. volans. All three species are vividly and distinctly coloured.
Image 15 in Butterflies (Lepidoptera) of Dibang Valley, Mishmi Hills, Arunachal Pradesh, India
Image 15. Graphium xenocles xenocles
Energy consumption of 15 electric vehicles (one day resolution)
<p><strong>Energy consumption of 15 electric vehicles (one day resolution)</strong></p> <p>Sérgio Ramos, João Soares, Zahra Foroozandeh, Inês Tavares, Zita Vale</p> <p><strong>Paper title: TODO</strong></p> <p>Type: EV consumption</p> <p>Duration: One year</p> <p>Resolution: One day</p> <p>Application: Paper submitted on</p> <p>Sheets description:</p> <ul> <li>EV 1-15: Contains the information of the energy consumption and initial State of Charge of each EV (kWh).</li> </ul>
Energy consumption and PV generation data of 15 prosumers (15 minute resolution)
<p><strong>Energy consumption and PV generation data of 15 prosumers (15 minute resolution)</strong></p> <p>Sérgio Ramos, João Soares, Zahra Foroozandeh, Inês Tavares, Zita Vale</p> <p><strong>Paper title: (All papers)</strong></p> <p>Type: Energy consumption and PV generation data</p> <p>Duration: Year 2019 (15 minute – 35 040 periods)</p> <p>Resolution: 15 minutes</p> <p>Application: Paper submitted on</p> <p>Sheets description:</p> <ul> <li>Total PV production: Contains the generation of the PV panels;</li> <li>Common services: Contains information of the energy consumption of the common services of the building;</li> <li>Consumer 1-15: Contains the information of the energy consumption of each consumer.</li> </ul>
Figure 15 in Maratus personatus, a masked peacock spider from Cape Riche, Western Australia (Araneae: Salticidae: Euophryinae)
Figure 15. Development of first instar Maratus personatus. When these first emerge from the egg (1-3), they are little more than naked embryos, with short legs and unpigmented eyes that continue to grow and develop prior to the first moult. Some authors call these prelarvae. As these grow, pigment of the retinae, dorsal carapace, and opisthosoma appears, and the legs develop to the point that the spiderlings can move about in the egg sac. Although development is continuous during most of the first instar, the more developed pre-first moult spiderlings are sometimes called larvae.
Figure 15 in Two new peacock spiders of the calcitrans group from southern Queensland (Araneae: Salticidae: Euophryinae: Maratus)
Figure 15. Consecutive video frames (1-24, 25fps, exposure/frame 20msec, ~1s total duration) depicting the fan dance of a male Maratus jactatus facing a female. Vertical arrows identify movement of the extended ipsilateral (left) leg III, behind the fan. Double arrows in frames 4 and 18 indicate rapid rocking movement of the entire body, occurring at ~1.4 Hz in this sequence.
Wikidata instanceOf, subclassOf, isa-relation dumps of Feb 15, 2021.
<p>Wikidata instanceOf, subclassOf, isa-relation dumps of Feb 15, 2021. The combination of these files is used to determine the ancestors of each node at 1 or more levels above it.</p> <ul> <li><a href="https://drive.google.com/file/d/1XB_i1nWTQffmLx6Iid8GBbKcaXx7v0Xc/view?usp=sharing">P279 (subclass of)</a></li> <li><a href="https://drive.google.com/file/d/1r5gAIVYtVY9apo4NRZTmbIzq_M2fBloS/view?usp=sharing">P31 (instance of)</a></li> <li><a href="https://drive.google.com/file/d/1jHQ1z5sLET2ifQoPXMv3OBH7qvpLU1ws/view?usp=sharing">isa (instance of or subclass of)</a></li> <li><a href="https://drive.google.com/file/d/17hmc2UKpt_VujbjH-w5icGJCQtXDBfk6/view?usp=sharing">P279 star (recursive subclass of)</a></li> </ul>
Figure 15 in Eight new state records of aleyrodine whiteflies found in Clark County, Nevada and three newly described taxa (Hemiptera: Aleyrodidae, Aleyrodinae)
Figure 15. Trialeurodes pseudoblongifoliae Dooley sp. nov.
Figure 15-16. Saprolochus tridentatus, n in New South American taxa of Odontolochini Stebnicka and Howden (Coleoptera: Scarabaeidae: Aphodiinae)
Figure 15-16. Saprolochus tridentatus, n. sp. 15) Dorsal habitus. 16) Ventral habitus.
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.