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221 results for “Oklahoma”
Fig. 12 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 12. Frequency distribution of adult-specimen abundance in 10-specimen size classes for the Elmo entomofauna.
Fig. 11 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 11. Abundance of adult specimens of Elmo entomofauna. Values are plotted from species with fewest known specimens to species with the most known specimens. The species with the greatest numbers of specimens are identified.All labelled taxa are Grylloblattida except for D. tinctum (Psocoptera).
Fig. 10 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 10. Size distributions of the Wellington Formation entomofauna by major taxonomic groups. Size is based on average forewing length in mm.
Fig. 8 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 8. Distribution of size in the Wellington Formation entomofauna. Size is based on average forewing length in mm, plotted from smallest species to largest species. The 13 largest (forewing length>100 mm) and 2 smallest (forewing length <2 mm) species are identified. The two smallest species are both in the family Lophioneuridae. Ten of the largest species belong to the order Protodonata; M. grandis, to Palaeodictyoptera; G. carpenteri, to Caloneurodea; and S. ingens, to Megasecoptera.
Fig. 9 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 9. Frequency distribution in 5-mm size classes of average forewing lengths for the Wellington Formation entomofauna.
Fig. 7 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 7. Species diversity of the Wellington Formation entomofauna by Order (Suborder for the Grylloblattida). Orders are placed in three groups, Apterygota, Pterygota: Palaeoptera, and Pterygota: Neoptera, and are arranged in decreasing order of number of species. Bars show the number of species in each taxon unique to Elmo, unique to Midco and common to both. The nearly 200 species represent some 21 orders, 53 families and 106 genera.
Fig. 5 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 5. Proportion of Wellington Formation entomofauna Neoptera and Palaeoptera subgroups unique to or shared between the Elmo and Midco localities, illustrating that the greater percentage of unique fauna at Elmo arises from the Neoptera. This reflects the fact that no review of the Neoptera from Midco has yet been published.
Fig. 6 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 6. Comparison of the distribution of the Elmo Permian and World extant entomofaunas by major groups: Apterygota, Palaeoptera, Polyneoptera, Paraneoptera, and Holometabola.
Fig. 4 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 4. (A) Gilbert O. Raasch (1903–1999) discovered the Midco fossil insect beds and documented the stratigraphy of the Oklahoma Wellington Formation in his PhD Thesis (Raasch 1946) (photo courtesy University of Wisconsin-Madison); (B) Paul Tasch of Wichita State University studied the palaeolimnology of the Wellington Formation in Kansas and Oklahoma and discovered additional Wellington Formation fossil insect localities in the late 1950's and early 1960's (photo courtesy of Wichita State University Department of Special Collections, Wichita, Kansas).
Fig. 3 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 3. The settlement of Elmo, Kansas, as it appeared in the early 1900's. The fossil beds, located a few miles southeast, were named after the town. (Photo courtesy of the Wichita State University Libraries Department of Special Collections.)
Fig. 1 in The entomofauna of the Lower Permian fossil insect beds of Kansas and Oklahoma, USA
Fig. 1. Location and extent of the North American mid-continent Lower Permian Wellington Formation insect fossil deposits. The formation runs north to south some 270 km along eight counties, with major sites at the northern (Elmo, Kansas) and southern (Midco, Oklahoma) extremities.
University of Oklahoma CopterSonde Files from LAPSE-RATE
<p>This dataset contains quality-controlled thermodynamic (temperature, pressure, humidity) and kinematic (wind speed and direction) measurements from the University of Oklahoma Center for Autonomous Sensing and Sampling team during the LAPSE-RATE campaign from 14--19 July 2018. These files are from the fleet of 3 individual CopterSonde rotary-wing UAS used during the campaign. Differences between them have been accounted for through calibration. See README_v1.txt for more information.</p>
Figures 24-29. Phidippus mystaceus clade group members, male anterior view. Figure 24. Phidippus mystaceus, Oklahoma. Figure 25. Phidippus toro, Arizona. Figure 26. Phidippus pacosauritus, Sinaloa. Figure 27 in Description of Phidippus pacosauritus sp. nov. (Salticidae: Salticinae: Dendryphantini: Dendryphantina), with a reanalysis of related species in the mystaceus group
Figures 24-29. Phidippus mystaceus clade group members, male anterior view. Figure 24. Phidippus mystaceus, Oklahoma. Figure 25. Phidippus toro, Arizona. Figure 26. Phidippus pacosauritus, Sinaloa. Figure 27. Phidippus arizonensis, central Mexico, state uncertain. Figure 28. Phidippus cruentus, Jalisco. Figure 29. Phidippus adonis, Morelos. Photo credits: Figures 24, 26-29, David Hill.
Data for "To heal or not to heal? Part I: The effect of pore fluid pressure on the frictional healing behavior of Oklahoma lithologies"
<p>This dataset includes the original data files for each experiment in csv format, the mat version with an additional friction column, the hold picks, the velocity step picks, and the RSFitting results. They have the following names:</p> <ul> <li>UC####.csv</li> <li>UC####.mat</li> <li>UC##_hold_picks.mat</li> <li>UC##_healing_picks.mat</li> <li>UC##_VS_RSFit.mat</li> </ul> <p>The CSV and mat files include the on-sample shear displacement data labeled LVDT1 and LVDT2 and the on-sample radial displacement data labeled LVDT3. All data files except for the RSFit include an OG_Index column which is consistent across files for each experiment, such that it provides a unique indicator for each datapoint. Note that all experiment numbers are available in the main text, except for UC0094, which is shown in the supplement text S6.</p>
Constructing a 3-D radially anisotropic crustal velocity model for Oklahoma by using full waveform inversion
<p>The OK3D_Vp_Ani.csv and OK3D_Vs_Ani.csv is inverted 3-D compressive and shear velocity model proposed in the publication.</p> <p>Each file contains horizontally and vertically polarized velocity components and their relative perturbation with respect to the averaged 1-D velocity profile, as well as the RA defined in the paper, at each location (longitude, latitude, depth).</p> <p>These two files are stored in CSV format, and can be easily readed by pandas module in python environment.</p>
Incentives for Oklahoma Tobacco Helpline Engagement in Persistent Poverty Counties
ClinicalTrials.gov study NCT05095779. IPD Sharing: YES. Countries: 1. Publications: 1.
Global factors constrain body size trends across the Great Ordovician Biodiversification Event at a regional scale: a case study from the Arbuckle Mountains of Oklahoma
Open the record for dataset details and reuse information.
Oklahoma Black-capped Vireo dispersal study
Open the record for dataset details and reuse information.
Southern Plains Range Research Station site, station Oklahoma Division 2, North Central, study of Palmer Drought Severity Index in units of dimensionless on a monthly 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 Southern Plains Range Research Station (SPR) contains Palmer Drought Severity Index measurements in dimensionless units and were aggregated to a monthly timescale.
Southern Plains Range Research Station site, station Oklahoma Division 2, North Central, study of Palmer Drought Severity Index in units of dimensionless 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 Southern Plains Range Research Station (SPR) contains Palmer Drought Severity Index measurements in dimensionless units and were aggregated to a yearly timescale.
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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.