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Figure 9. Goniatites multiliratus Gordon, 1962 from the Figure 2 Ranch section, Sierra Diablo. Specimen NPL 68494 from bed 17 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 9. Goniatites multiliratus Gordon, 1962 from the Figure 2 Ranch section, Sierra Diablo. Specimen NPL 68494 from bed 17 (sample OOTXCU-25); × 2.0.

Figure 7 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 7. Girtyoceras meslerianum (Girty, 1909), conch cross sections and ontogenetic trajectories of material from the Caney Shale of Jackfork Creek near Ada, Oklahoma (a–d). (a) Specimen MB.C.25466; × 2.5. (b) Specimen MB.C.25467; × 2.5. (c) Specimen MB.C.25468; × 2.5. (d) Specimen MB.C.25469; × 2.5. (e–g), ontogenetic development of the conch width index (ww / dm), umbilical width index (uw / dm), and WER of the sectioned specimens and type material.

Figure 6 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 6. Girtyoceras meslerianum (Girty, 1909) from the Figure 2 Ranch section, Sierra Diablo. Specimen NPL 68364 from bed 17 (sample 00TXCU-25); × 4.0.

Figure 16 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 16. Suture lines of representatives of Pachylyroceras from localities in Utah, Nevada, and Texas; all × 6.0. (a) Pachylyroceras utahensis (Miller et al., 1952), specimen NPL 68561 from Skunk Spring, Utah, at 11.6 mm diameter, 8.3 mm ww, 5.6 mm wh. (b) Pachylyroceras utahensis (Miller et al., 1952), specimen MB.C.25472 from Hamilton Canyon, Nevada, at 9.3 mm ww, 6.1 mm wh. (c) Pachylyroceras cloudi (Miller and Youngquist, 1948), specimen NPL 68542 from bed 25 of the Figure 2 Ranch, Texas, at 13.2 mm ww, 8.0 mm wh.

Figure 5 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 5. Girtyoceras hamiltonense Korn and Titus, 2011 from the Figure 2 Ranch section, Sierra Diablo. Specimen NPL 68361 from bed 9 (sample 00TXCU-21b); × 2.5.

Figure 4 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 4. Descriptive terms for the conch morphology and suture lines of the ammonoids described here.

Figure 3 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 3. Global correlation chart for upper Viséan and lowest Serpukhovian ammonoid zones; after Ruzhencev and Bogoslovskaya (1971), Korn and Horn (1996), Korn et al. (2007), Korn and Kaufmann (2009) and Korn and Titus (2011).

Figure 11 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 11. Choctawites cumminsi (Hyatt, 1893) from bed 25 (sample 00TXCU-27) of the Figure 2 Ranch section; both × 2.5. (a) Specimen NPL 68497. (b) Specimen NPL 68498.

Figure 8 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 8. Goniatites eganensis Korn and Titus, 2011 from the Figure 2 Ranch section, Sierra Diablo. (a) Specimen NPL 68431 from bed 9 (sample OOTXCU-21b); × 1.0. (b) Specimen NPL 68471 from bed 9 (sample OOTXCU-21b); × 1.25. (c) Specimen NPL 68493 from bed 11 (sample OOTXCU-22); × 1.75. (d) Specimen NPL 68389 from bed 9 (sample OOTXCU-21a); × 2.5.

Figure 2 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 2. Columnar King's section on the Figure 2 Ranch, Sierra Diablo, Texas, with the position of fossil samples and proposed biostratigraphic attribution.

Figure 1 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 1. Reference map showing location of the Figure 2 Ranch King section, Sierra Diablo, Culberson County, Texas.

Figure 14 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 14. Choctawites choctawensis (Shumard, 1863). (a) Cross section of topotype USNM 119504 from Brushy Creek, Oklahoma; × 2.5 (from Gordon, 1965). (b) Cross section of specimen 71 from Ada, Oklahoma; × 2.5. (c) Cross section of specimen 26-1 from San Saba; × 2.5. (d–f), Ontogenetic development of the conch width index (ww / dm), umbilical width index (uw / dm), and whorl expansion rate (WER) of all available specimens (the cross sections of specimens (b) and (c) from Ada and San Saba were produced by R. Kant; the original specimens is stored in the collections of the USNM, acetate peels are stored in the collections of the GPI Tübingen).

Figure 15 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 15. Pachylyroceras cloudi (Miller and Youngquist, 1948) from bed 25 (sample 00TXCU-27) of the Figure 2 Ranch section; both × 2.5. (a) Specimen NPL 68540. (b) Specimen NPL 68541.

Figure 10 in Late Viséan (late Mississippian) ammonoids from the Barnett Shale, Sierra Diablo Escarpment, Culberson County, Texas, USA

Figure 10. Cladogram of selected genera, represented by well-known species, of the superfamily Goniatitaceae.

Figure 2 in Predicting suitable habitat for dreissenid mussel invasion in Texas based on climatic and lake physical characteristics

Figure 2. Maxent predictions of suitable zebra mussel (Dreissena polymorpha) habitat in Texas. Shading indicates the logistic output of the Maxent model. Polygons represent state and national borders as well as major river basins within Texas.

Figure 1 in Predicting suitable habitat for dreissenid mussel invasion in Texas based on climatic and lake physical characteristics

Figure 1. Physicochemical data survey lakes. Sites categorized by TPWD (at the time of this study in 2016) as "infested" (the water body has an established, reproducing population) or "positive" (zebra mussels or their larvae have been detected on more than one occasion despite lack of evidence of a fully established, reproducing population) are indicated by red triangles and included: Lakes Austin, Belton, Bridgeport, Dean Gilbert, Lavon, Lewisville, Ray Roberts, Stillhouse Hollow, Texoma, Travis, and Waco. Sites categorized by TPWD as zebra mussel "negative" are indicated by green circles and included: Lakes Aquilla, Buchanan, Georgetown, Granbury, Granger, Hubbard Creek, Inks, Lady Bird, LBJ, Limestone, Marble Falls, Palo Pinto, Pflugerville, Possum Kingdom, Proctor, and Whitney.

Figure 4 in Predicting suitable habitat for dreissenid mussel invasion in Texas based on climatic and lake physical characteristics

Figure 4. Biplot of components 1 and 2 (top) and 1 and 3 (bottom) from Principal Component Analysis of water quality variables in 27 study lakes. Variables that predominated in each component (|factor loading| ≥ 0.50) are shown on the appropriate axes. Individual lake data are represented by symbols, with open circles representing lakes without previously reported incidences of zebra mussels (absent, 16 lakes), and solid circles those known to harbor the invasive species (present, 11 lakes) at the time of sampling (October 2016). No separation between the two lake groups is evident in either of the biplots. Ca, calcium, N, nitrogen; P, phosphorous.

Figure 3 in Predicting suitable habitat for dreissenid mussel invasion in Texas based on climatic and lake physical characteristics

Figure 3. Maxent predictions of suitable quagga mussel (Dreissena bugensis) habitat in Texas. Shading indicates the logistic output of the Maxent model. Polygons represent state and national borders as well as major river basins within Texas.

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Dataset: Texas Capital Texas Small Cap Equity Index ETF (TXSS) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.