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189 results for “lanes”
H. J. Andrews Experimental Forest site, station Lane County, OR (FIPS 41039), study of percent urban population in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.
H. J. Andrews Experimental Forest site, station Lane County, OR (FIPS 41039), study of human population density in units of numberPerKilometerSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.
H. J. Andrews Experimental Forest site, station Lane County, OR (FIPS 41039), study of human population (total) in units of number on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains human population (total) measurements in number units and were aggregated to a yearly timescale.
H. J. Andrews Experimental Forest site, station Lane County, OR (FIPS 41039), study of population (urban) in units of number on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains population (urban) measurements in number units and were aggregated to a yearly timescale.
Life Sciences in the Fast Lane: Dan Qunitana on Rapid Feedback, Tweeting, and Time Management
<p><strong>Episode Summary:</strong></p> <p>In the last episode of 2019 we talk to Professor Dan Quintana from the University of Oslo about the advantages of sharing preprints and ideas online, fears about getting scooped, and lessons he has learnt about Twitter and time management. </p> <p><strong>Episode Links: </strong></p> <p><a href="https://www.dsquintana.com/publication/">Dan Quintana</a></p> <ul> <li><a href="https://twitter.com/dsquintana">Dan Quintana Twitter</a></li> </ul> <p><a href="https://twitter.com/hertzpodcast">Everything Hertz Podcast</a></p> <p><a href="https://twitter.com/pb_cast">Physiology & Behavior Podcast</a></p> <p><strong>Episode Quotes: </strong></p> <p>"The great thing about social media is it is a great way to organise a lot of people who are like-minded"</p>
Relocated Earthquake Catalog - Seismogenic Depth Variation across the Transtensional Northern Walker Lane
<p>Combined absolute and Growclust relocated earthquake catalog for the Reno-Tahoe area from 2002-2019. File format (by column):</p> <ol> <li>Event ID (EVID)</li> <li>Latitude</li> <li>Longitude</li> <li>Depth (km)</li> <li>Year</li> <li>Month</li> <li>Day</li> <li>Hour</li> <li>Minute</li> <li>Second</li> <li>Local Magnitude</li> <li>Relocated Flag (1 = GrowClust Relocated, 0 = Absolute Location Only)</li> </ol>
................................................................................................................................................. Fig. 3. SDSPAGE analysis of total bacterial protein extracts of the four roe deer isolates as well as other Bartonella species. Extracts of total bacterial protein were separated by SDSPAGE and stained with Coomassie brilliant blue. Lanes: M, molecular mass markers; 1, R1T; 2, R3; 3, R4; 4, R6; 5, Bartonella henselae; 6, Bartonella quintana; 7, Bartonella bacilliformis; 8, Bartonella elizabethae; 9, Bartonella clarridgeiae; 10, Bartonella alsatica; 11, Bartonella tribocorum; 12, Bartonella grahamii. in Bartonella schoenbuchii sp. nov., isolated from the blood of wild roe deer.
................................................................................................................................................. Fig. 3. SDSPAGE analysis of total bacterial protein extracts of the four roe deer isolates as well as other Bartonella species. Extracts of total bacterial protein were separated by SDSPAGE and stained with Coomassie brilliant blue. Lanes: M, molecular mass markers; 1, R1T; 2, R3; 3, R4; 4, R6; 5, Bartonella henselae; 6, Bartonella quintana; 7, Bartonella bacilliformis; 8, Bartonella elizabethae; 9, Bartonella clarridgeiae; 10, Bartonella alsatica; 11, Bartonella tribocorum; 12, Bartonella grahamii.
Cosmogenic Ages from Alluvial Fans offset by Central Walker Lane Faults
<p>Here are a series of cosmogenic 10Be and 36Cl ages and metadata for samples related to a faulting study southeast of Reno, NV, USA. Both 10Be and 36Cl concentrations were measured at the PRIME lab at Purdue. All 10Be samples were processed in the Geochronology Laboratories at the University of Cincinnati. The 36Cl samples were processed and analyzed at the PRIME lab. Boulder sampling focused on the largest boulders (~50–150-cm-diameter) from alluvial fan surfaces. Approximately 500 g samples were taken from the upper 2–5 cm of each of these boulders. 10Be concentrations and laboratory data are listed in these tables. The 10Be boulder exposure ages were calculated using the Cosmic Ray Exposure Program (CREp). The calculator requires input describing the geographic coordinates and elevation of the samples, local shielding of the sample, density of the sample, and estimation of the boulder erosion rates resulting from processes such as boulder grussification and spalling. The age estimates are also dependent on the assumption of particular scaling models designed to estimate the long-term production rate of cosmogenic 10Be. The 10Be ages use a production rate of 4.05 ± 0.30 at/g SiO2/yr determined at Twin Lakes, which is located at a higher elevation than the fan surfaces here, but is within 100 km of all study sites, the ERA40 atmosphere model, the Lifton-VDM2016 geomagnetic database, and the LSD scaling scheme.The 36Cl boulder ages are calculated using the CRONUS calculator for 36Cl.</p>
Postseismic Corrected Walker Lane GPS velocities
<p>The interseismic motion of GPS stations in a tectonically active, diffuse, strike-slip shear zone<br> provide constraints on the overall deformation budget that can be compared to the summation<br> of geologically-estimated fault slip rates to understand regional strain accommodation. The<br> Walker Lane GPS velocities in this dataset represent a subset of GPS stations included in the<br> Nevada Geodetic Laboratory MIDAS velocity solution (Blewitt et al., 2016, 2018; accessible at<br> <a href="http://geodesy.unr.edu/velocities/midas.NA12.txt,">http://geodesy.unr.edu/velocities/midas.NA12.txt,</a> last accessed 11/19/2020) . This dataset<br> includes velocities for all GPS stations located between 34° N – 43° N latitude and 114° W –<br> 123° W longitude with time series longer than 2.5 years from the semi-continuous MAGNET<br> network operated by the Nevada Geodetic Laboratory (Blewitt et al., 2009) and neighboring<br> continuous GPS stations. The MIDAS velocities are calculated using daily position data collected<br> through August 2019 presented in the NA12 reference frame (Blewitt et al., 2013) , and<br> corrected for the postseismic effects of historic ruptures in and surrounding the Walker Lane.<br> The MIDAS algorithm is a median trend estimator that mitigates both seasonality and step<br> discontinuities in the times series (Blewitt et al., 2016). The resulting velocities are insensitive to<br> the coseismic and postseismic effects of earthquakes that occurred after the midpoint of the<br> time series (Blewitt et al., 2016) , such as the July 2019 Ridgecrest, CA M w 6.4 and 7.1 sequence,<br> but must be corrected for the post-seismic effects of earthquakes that occurred prior to the<br> middle of time series, such as the historic surface rupturing earthquakes in Central Nevada<br> Seismic Belt and the 1993 Landers M w 7.3, and 1999 Hector Mine M w 7.0 events. We apply the<br> viscoelastic postseismic relaxation correction from Bormann et al. (2013) that was developed<br> using the method of Hammond et al. (2010) and the preferred western Basin and Range lower<br> crust (10 20.5 Pa-s) and upper mantle (10 19 Pa-s) viscosity model of Hammond et al. (2009) .<br> When using this dataset, please also cite Blewitt et al (2018) as the authors of the original<br> MIDAS NA12 reference frame velocity solution is the basis for our postseismic corrected Walker<br> Lane velocities:<br> Blewitt, G., Hammond, W.C., Kreemer, C., 2018. Harnessing the GPS Data Explosion for<br> Interdisciplinary Science. Eos. <a href="https://doi.org/10.1029/2018EO104623">https://doi.org/10.1029/2018EO104623</a>.<br> <br> References:<br> Blewitt, G., Hammond, W.C., Kreemer, C., 2018. Harnessing the GPS Data Explosion for<br> Interdisciplinary Science. Eos. <a href="https://doi.org/10.1029/2018EO104623">https://doi.org/10.1029/2018EO104623</a>.<br> Blewitt, G., Kreemer, C., Hammond, W.C., Gazeaux, J., 2016. MIDAS robust trend estimator for<br> accurate GPS station velocities without step detection. Journal of Geophysical Research,<br> Solid Earth. <a href="https://doi.org/10.1002/2015JB012552">https://doi.org/10.1002/2015JB012552</a>.<br> Blewitt, G., Kreemer, C., Hammond, W.C., Goldfarb, J.M., 2013. Terrestrial reference frame<br> NA12 for crustal deformation studies in North America. Journal of Geodynamics.<br> <a href="https://doi.org/10.1016/j.jog.2013.08.004">https://doi.org/10.1016/j.jog.2013.08.004</a>.<br> Bormann, J.M., Hammond, W.C., Kreemer, C., Blewitt, G., Jha, S., 2013. A Synoptic Model of<br> Fault Slip Rates in the Eastern California Shear Zone and Walker Lane from GPS Velocities<br> <br> for Seismic Hazard Studies. Presented at the 2013 Seismological Society of America Annual<br> Meeting, Seismological Research Letters, Salt Lake City, UT, p. 323.<br> Hammond, W.C., Kreemer, C., Blewitt, G., 2009. Geodetic constraints on contemporary<br> deformation in the northern Walker Lane: 3. Postseismic relaxation in the Central Nevada<br> Seismic Belt., in: Late Cenozoic Structure and Evolution of the Great Basin-Sierra Nevada<br> Transition, Geological Society of America Special Paper 447.<br> <a href="https://doi.org/10.1130/2009.2447(03)">https://doi.org/10.1130/2009.2447(03)</a>.<br> Hammond, W.C., Kreemer, C., Blewitt, G., Plag, H.-P., 2010a. Effect of viscoelastic postseismic<br> relaxation on estimates of interseismic crustal strain accumulation at Yucca Mountain,<br> Nevada. Geophysical Research Letters. <a href="https://doi.org/10.1029/2010GL042795">https://doi.org/10.1029/2010GL042795</a>.</p>
Automated flow control of a multi-lane swimming chamber for small fishes indicates species-specific sensitivity to experimental protocols
<p>In fishes, swimming performance is considered an important metric to measure fitness, dispersal, and migratory abilities. Swimming performance of individual larval fishes is often integrated into models to make inferences on how environmental parameters affect population-level dynamics (e.g., connectivity). However, little information exists regarding how experimental protocols affect the swimming performance of marine fish larvae. In addition, the technical setups used to measure larval fish swimming performance often lack automation and accurate control of water quality parameters and flow velocity. In this study, we automated the control of multi-lane swimming chambers for small fishes by developing an open-source algorithm. This automation allowed us to execute repeatable flow scenarios and reduce operator interference and inaccuracies in flow velocity typically associated with manual control. Furthermore, we made structural modifications to a prior design to reduce areas of lower flow velocity. We then validated the flow dynamics of the new chambers using computational fluid dynamics and particle tracking software. The algorithm provided accurate alignment between set and measured flow velocities and we used it to test whether faster critical swimming speed (<i>U</i><sub>crit</sub>) protocols (i.e., shorter time intervals and higher velocity increments) would increase <i>U</i><sub>crit</sub> of early life stages of two tropical fish species (4-10 mm standard length). The <i>U</i><sub>crit</sub> of barramundi (<i>Lates calcarifer</i>) and cinnamon anemonefish (<i>Amphiprion melanopus</i>) increased linearly with fish length, but in cinnamon anemonefish, <i>U</i><sub>crit</sub> started to decrease upon metamorphosis. Swimming protocols using longer time intervals (>2.5 times increase) negatively affected <i>U</i><sub>crit</sub> in cinnamon anemonefish but not in barramundi. These species-specific differences in swimming performance highlight the importance of testing suitable <i>U</i><sub>crit</sub> protocols prior to experimentation. Automated control of flow velocity will create more accurate and repeatable data on swimming performance of larval fishes. Integrating refined measurements into individual-based models will support future research on the effects of environmental change.</p>
FIGURE 1 in Redescription of Stilobezzia (Stilobezzia) albicoxa Lane & Forattini, 1956 with new synonymy (Diptera: Ceratopogonidae)
FIGURE 1. (A–F) Stilobezzia (S.) albicoxa. A. female, head and thorax (lateral view); B. male, head, thorax and abdomen (lateral view); C. male wing; D. female tarsomeres and claws; E. male genitalia (dorsal view); F. male genitalia (ventral view); G. Stilobezzia (S.) dureti holotype male, genitalia.
FIGURE 3 in A new species of Okanagana from the Walker Lane region of Nevada and California (Hemiptera: Auchenorrhyncha: Cicadidae)
FIGURE 3. Male terminalia of Okanagana boweni sp. n. (top row), O. simulata (middle row), and O. utahensis (bottom row), in dorsal view (left column) and left lateral view (right column).
FIGURE 6 in A new species of Okanagana from the Walker Lane region of Nevada and California (Hemiptera: Auchenorrhyncha: Cicadidae)
FIGURE 6. Geographic distributions of Okanagana boweni sp. n. and Okanagana simulata, and the California range of their hypothesized host plant Artemisia tridentata (data provided by the participants of the Consortium of California Herbaria ucjeps. berkeley.edu/consortium/). The yellow hatched polygon outlines the Walker Lane region (Carlson et al. 2013). The inset details the type locality.
FIGURE 5 in A new species of Okanagana from the Walker Lane region of Nevada and California (Hemiptera: Auchenorrhyncha: Cicadidae)
FIGURE 5. Calling songs of Okanagana boweni sp. n. (above) and O. simulata (below). The songs are shown as 5 s oscillogram windows (top) that are zoomed to 0.5 s oscillogram (middle) and spectrogram (bottom) windows. Song characters are illustrated.
FIGURE 2 in A new species of Okanagana from the Walker Lane region of Nevada and California (Hemiptera: Auchenorrhyncha: Cicadidae)
FIGURE 2. Male timbals of Okanagana boweni sp. n. (left), O. simulata (middle) and O. utahensis (right), left dorsolateral view.
FIGURE 4 in A new species of Okanagana from the Walker Lane region of Nevada and California (Hemiptera: Auchenorrhyncha: Cicadidae)
FIGURE 4. Female terminalia of Okanagana boweni sp. n. (left), O. simulata (middle) and O. utahensis (right), ventral view.
FIGURE 1 in A new species of Okanagana from the Walker Lane region of Nevada and California (Hemiptera: Auchenorrhyncha: Cicadidae)
FIGURE 1. Dorsal (left column r) and ventral (right column v) habitus of Okanagana boweni sp. n. (top row), O. simulata (middle row) and O. utahensis (bottom row).
Frog Lane - Tunbridge Wells
Frog Lane - Tunbridge Wells scanned with iPhone12Pro Source: Objaverse 1.0 / Sketchfab
Lilliput Lane 1992 Cottage
Quick scan of a mini model of a lillliput lane cottage Source: Objaverse 1.0 / Sketchfab
FIGURE 1 in New species of Hemilissopsis Lane, 1959 (Coleoptera: Cerambycidae, Cerambycinae, Elaphidionini)
FIGURE 1. Dorsal habitus, Hemilissopsis spp: a) H. clenchi Lane, female; b) H. fernandezae, new species, female
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.