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81 results for “Central Valley”
Figure 9 in Aras Valley (northwest Iran): high-resolution stratigraphy of a continuous central Tethyan Permian-Triassic boundary section
Figure 9. Succession of conodont species and zones in the Aras Valley section. (Wu – Wuchiapingian; Ch – Changhsingian; EH – extinction horizon; P – Permian; Tr – Triassic).
Figure 1 in Aras Valley (northwest Iran): high-resolution stratigraphy of a continuous central Tethyan Permian-Triassic boundary section
Figure 1. (a) Geographic position of Permian–Triassic boundary sections in the Transcaucasus and in NW Iran (after Arakelyan et al., 1965); important sections are highlighted. (b) Detail map showing the position of the Aras Valley section. (c) Palaeogeographic position of the Julfa area during the PTB time interval (after Stampfli and Borel, 2002).
Figure 8 in Aras Valley (northwest Iran): high-resolution stratigraphy of a continuous central Tethyan Permian-Triassic boundary section
Figure 8. Microfacies types and carbonate content of samples from the Aras Valley section. Dashed lines indicate transitional microfacies change or possible continuation of the microfacies type. (Wu – Wuchiapingian; Ch – Changhsingian; EH – extinction horizon; P – Permian; Tr – Triassic).
Figure 4 in Aras Valley (northwest Iran): high-resolution stratigraphy of a continuous central Tethyan Permian-Triassic boundary section
Figure 4. Carbonate microfacies of samples from the lower Julfa Formation (a), upper Julfa Formation (b, c), and Zal Member (d, e) of the Aras Valley section. (a) Crinoidal wacke- to packstone with crinoids, brachiopods, rugose coral, and gastropods as well as peloids in a microspar matrix; sample AJ124 (−27.90 m). (b) Crinoidal wackestone with shell debris and crinoids; sample AJ139 (−21.30 m). (c) Wackestone with disarticulated ostracods, brachiopods, and sub-rounded micritic intraclasts; sample AJ157 (−14.00 m). d) Mudstone with ostracod and echinoderm fragments; sample AJ165 (−10.35 m). (e) Burrowed mudstone; sample AJ174 (−5.65 m). Scale bar units = 1 mm.
Рис. 2. Черношапочные сурки и их местообитания на хребте КоΑар: A — виΑ на ЦентраΛьный КоΑар и ΑоΛину р. СреΑний Сакукан; B — местообитание сурков поΑ переваΛом; C — местообитание сурков по берегам р. Того; D — местообитание сурков на вершине гребня, каΑр с фотоΛовушки; E — сурки; F — черношапочный сурок обΛизывает пΛасты каменного угΛя, каΑр из виΑеосъемки Fig. 2. Black-capped marmots and their habitats on the Kodar Ridge: A — view of the Central Kodar and the valley of the Middle Sakukan River; B — habitat of marmots under the mountain pass; C — habitat of marmots along the banks of the Togo River; D — marmot habitat at the top of the mountain ridge, camera trap frame; E — marmots; F — the black-capped marmot licks coal, freeze frame from video in On the ecology of the Doppelmayer`s Black-capped marmot (Marmota camtschatica doppelmayeri Birula, 1922): Kodar Mountain Ridge, Transbaikalia, Russia
Рис. 2. Черношапочные сурки и их местообитания на хребте КоΑар: A — виΑ на ЦентраΛьный КоΑар и ΑоΛину р. СреΑний Сакукан; B — местообитание сурков поΑ переваΛом; C — местообитание сурков по берегам р. Того; D — местообитание сурков на вершине гребня, каΑр с фотоΛовушки; E — сурки; F — черношапочный сурок обΛизывает пΛасты каменного угΛя, каΑр из виΑеосъемки Fig. 2. Black-capped marmots and their habitats on the Kodar Ridge: A — view of the Central Kodar and the valley of the Middle Sakukan River; B — habitat of marmots under the mountain pass; C — habitat of marmots along the banks of the Togo River; D — marmot habitat at the top of the mountain ridge, camera trap frame; E — marmots; F — the black-capped marmot licks coal, freeze frame from video
Central Valley InSAR Data - 2015 -2016 -2017-2018
<p>InSAR range change data, cumulative since 2/2015.</p> <p>The files are in ascii and are of the form</p> <p>Decimal degrees longitude, Decimal degrees latitude, Range change (cm)</p> <p>.</p> <p>.</p> <p>.</p>
Figure 1 in Evidence of presence of Marbled Cat Pardofelis marmorata (Martin, 1837) in Neora Valley National Park, Central Himalaya, India
Figure 1. Study area pointing the location points of the camera traps capturing the Marbled Cat Images.
Figure 2 in First photographic evidence of Asian Golden Cat Catopuma temminckii (Vigors and Horsfield, 1827) from Neora valley National Park, Central Himalayas, India
Figure 2. Camera Trap photograph of Asian golden cat (Catopuma temminckii Vigors & Horsfield, 1827) captured in Neora Valley National Park, West Bengal, India.
Figure 1 in First photographic evidence of Asian Golden Cat Catopuma temminckii (Vigors and Horsfield, 1827) from Neora valley National Park, Central Himalayas, India
Figure 1. The distribution of Asian Golden Cat according to the IUCN Redlist database and the photo-capture site of the species from the present study at Neora Valley National Park, West Bengal, India.
Text-fig. 1. Sampling areas in Çankırı province: the village of Sakarcaören near to the town of Orta (green circle) in the east of GVP, and the other sites (yellow circles), volcanic centers (red circles) and the border of GVP. The sites marked as yellow circles: ELM, Elmali village; SOG, Soguksu National Park; BUG, Bugralar village; INO, Inozu Valley South Side; INL, Inozu Valley North Side; KAR, Karasar village; MEN, Menceler Plateau; KIR, Kiraluc Site near Nuhhoca village; AGU, Asagiguney village; KUZ, Kuzca village (Bayam et al. 2018); PEL, Pelitcik village (Akkemik et al. 2009); GUD, Gudul (Akkemik et al. 2017); HOC, Hoçaş village and KOZ, Kozyaka village (Akkemik et al. 2016). The sites located in the western part (INO, INL, KAR, MEN, KIR, AGU, KUZ, HOC and KUZ) are from early – middle Burdigalian and Hancili Formation (Altun et al. 2002, Akbaş et al. 2002). The sites in the central part (GUD, BUG, ELM, PEL and SOG) are from middle – late Burdigalian, Pazar Formation (Kazancı 2012, Sen et al. 2017), and finally the fossil site in the east part of GVP is the late Miocene, Hüyükköy Formation (Sengüler 2007). in The First Glyptostroboxylon And Taxodioxylon Descriptions From The Late Miocene Of Turkey And Palaeoclimatological Evaluation
Text-fig. 1. Sampling areas in Çankırı province: the village of Sakarcaören near to the town of Orta (green circle) in the east of GVP, and the other sites (yellow circles), volcanic centers (red circles) and the border of GVP. The sites marked as yellow circles: ELM, Elmali village; SOG, Soguksu National Park; BUG, Bugralar village; INO, Inozu Valley South Side; INL, Inozu Valley North Side; KAR, Karasar village; MEN, Menceler Plateau; KIR, Kiraluc Site near Nuhhoca village; AGU, Asagiguney village; KUZ, Kuzca village (Bayam et al. 2018); PEL, Pelitcik village (Akkemik et al. 2009); GUD, Gudul (Akkemik et al. 2017); HOC, Hoçaş village and KOZ, Kozyaka village (Akkemik et al. 2016). The sites located in the western part (INO, INL, KAR, MEN, KIR, AGU, KUZ, HOC and KUZ) are from early – middle Burdigalian and Hancili Formation (Altun et al. 2002, Akbaş et al. 2002). The sites in the central part (GUD, BUG, ELM, PEL and SOG) are from middle – late Burdigalian, Pazar Formation (Kazancı 2012, Sen et al. 2017), and finally the fossil site in the east part of GVP is the late Miocene, Hüyükköy Formation (Sengüler 2007).
Figure 2. Goulburn Valley Highway fossil location F103 in Taungurungia gen. nov., from the Lower Devonian of Yea, central Victoria, Australia
Figure 2. Goulburn Valley Highway fossil location F103 (Garratt 1980): a, F103 located about 5 km west of Yea; b, part of F103 exposure (37° 12' 30" S; 145° 21' 56" E) with arrow at location where Taungurungia garrattii gen. et sp. nov. was found in situ. Map after Garratt (1978) and positioning of Strathbogie Batholith after VandenBerg (1997).
Genetic parentage reveals the (un)natural history of Central Valley Hatchery steelhead
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Data and Code for "Drought Influences Habitat Associations and Abundances of Birds in California's Central Valley"
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Juvenile salmon growth across different habitat types in Central Valley, CA
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Dataset of the seismic noise measurements performed from 2009 to 2012 in Subequana Valley (central Italy)
<p>Use is free, provided the aforementioned reference is appropriately cited.<br> The dataset represents the seismic noise measurements performed in Subequana Valley (central Italy) and used in the publication “Gori, S., Falcucci, E., Ladina, C., Marzorati, S., and Galadini, F.: Active faulting, 3-D geological architecture and Plio-Quaternary structural evolution of extensional basins in the central Apennine chain, Italy, Solid Earth, 8, 319-337, doi:10.5194/se-8-319-2017, 2017”.<br> The measurements are archived in SAC format (http://ds.iris.edu/files/sac-manual/manual/file_format.html”).<br> Each SAC file contains information on the measurement parameters. Main header fields:<br> delta: sampling (s)<br> stla: measurement latitude (°N)<br> stlo: measurement longitude (°E)<br> stel: measurement elevation (m a.s.l.)<br> user0: sensor sensitivity (V/m/s)<br> user1: datalogger sensitivity (µV/count)<br> kstnm: measurement code<br> kevnm: experiment name<br> kuser0: gain<br> kuser1: unit of measure<br> kuser2: type of the sensor<br> kcmpnm: seismic channel<br> knetwk: network code of the experiment<br> kinst: type of the datalogger</p> <p>Description of files:<br> - CSVnoise_fromCV35_toCV87.zip: the archive of SAC files relative to noise measurements from CV35 to CV87<br> - CSVnoise_fromCV90_toC119.zip: the archive of SAC files relative to noise measurements from CV90 to C119<br> - CSVnoise_fromC120_toC218.zip: the archive of SAC files relative to noise measurements from C120 to C218</p>
USGSG16AP00094: Developing a seismic velocity model of the central valley, northern California: models SSJDOPHW95, SSJDGRANW95, SSJDFRAN95, and SSJDFRANG16
<p>Data and Figures for final technical report for:<br> USGS16AP00094: Developing a seismic velocity model the Central Valley, Northern California<br> Justin Lindeman, Donna Eberhart-Phillips, Louise H. Kellogg, and Lorraine J. Hwang<br> University of California, Davis</p> <p>Data for the final velocity model SSJD2016 may be found here:<br> <br> Eberhart-Phillips, Donna. (2017). USGSG16AP00094: Developing a seismic velocity model of the central valley, northern California: model SSJD2016 [Data set]. Zenodo. http://doi.org/10.5281/zenodo.556605</p> <p><br> Data for the shallow velocity models can be found in this repository.</p> <p>DATA FILES</p> <p>SSJDOPHW95.out, SSJDGRANW95.out, and SSJDFRANW95.out are crustal velocity models from velocity vs depth relation (Aagaard et al., 2010) and Wentworth et al., 1995 basement surface contours.</p> <p>SSJDFRANG16.out is the crustal velocity model from velocity-vs-depth relations (Aagaard et al., 2010) and <br> Graymer (written communication) 2016 basement surface contours.</p> <p>FIGURES</p> <p>All figures in the final technical report are included here.</p> <p>Map view slices of Vp (All*VP.pdf) and cross sections (All*crosssectionscomp.pdf) are also included in this package.</p> <p>SCRIPTS<br> shallowvelocityFRAN.m, shallowvelocitytygran.m, and shallowvelocityOPH.m are the matlab scripts used to create the shallow velocity models.</p>
Figure 16 in Aras Valley (northwest Iran): high-resolution stratigraphy of a continuous central Tethyan Permian-Triassic boundary section
Figure 16. Succession of ammonoid genera in the Aras Valley section.
Figure 14 in Aras Valley (northwest Iran): high-resolution stratigraphy of a continuous central Tethyan Permian-Triassic boundary section
Figure 14. Mass occurrence of ostracod specimens in sample AV171 (+1.71 m). Scale bar units = 1 mm.
Prehistoric Mining sites in the Lower Inn Valley - Federal Monuments Office documentation of the project Austrian Science Fund project "Prehistoric copper production in the eastern and central Alps" (I 1670)
<p>The dataset contains all tables and RDF-triples created based on the following Federal Monuments Office Documentations</p> <ul> <li>87002.15.01_Verhuettungsplatz_suedlich_Ruine_Rottenburg: <a href="https://zenodo.org/record/5243460"> https://zenodo.org/record/5243460</a></li> <li>87002.16.01_Verhuettungsplatz_suedlich_Ruine_Rottenburg: <a href="https://zenodo.org/record/5244755"> https://zenodo.org/record/5244755</a></li> <li>87002.17.01_Verhuettungsplatz_suedlich_Ruine_Rottenburg: <a href="https://zenodo.org/record/5244794"> https://zenodo.org/record/5244794</a></li> <li>87007.15.01_Bergbaurevier_Schwaz_Brixlegg: <a href="https://zenodo.org/record/5236664"> https://zenodo.org/record/5236664</a></li> <li>87007.16.01_Bergbaurevier_Schwaz_Brixlegg: <a href="https://zenodo.org/record/5243123"> https://zenodo.org/record/5243123</a></li> <li>87009.16.01_Erzaufbereitungsplatz_Schrofen: <a href="https://zenodo.org/record/5243416"> https://zenodo.org/record/5243416</a></li> </ul>
Supplementary data for: Outmigrating central valley Chinook Salmon
<p>Intraspecific diversity plays a critical role in the resilience of Chinook salmon populations. California's Central Valley historically hosted one of the most diverse population complexes of Chinook salmon in the world. However, anthropogenic factors have dramatically decreased this diversity, with severe consequences for population resilience. Here we use next generation sequencing and an archive of thousands of tissue samples collected across two decades during the juvenile outmigration to evaluate phenotypic diversity between and within populations of Central Valley Chinook salmon. To account for highly heterogeneous sample qualities in the archive dataset, we develop and test an approach for population and subpopulation assignments of Central Valley Chinook salmon that allows inclusion of relatively low-quality samples while controlling error rates. We find significantly distinct outmigration timing and body size distributions for each population and subpopulation. Within the archive dataset, spring run individuals that assigned to the Mill and Deer Creeks subpopulation exhibited an earlier and broader outmigration distribution as well as larger body sizes than individuals that assigned to the Butte Creek subpopulation. Within the fall run population, individuals that assigned to the late-fall run subpopulation also exhibited an earlier and broader outmigration distribution and larger body sizes than other fall run fish in our dataset. These results highlight the importance of distinct subpopulations for maintaining remaining diversity in Central Valley Chinook salmon, and demonstrates the power of genomics-based population assignments to aid the study and management of intraspecific diversity.</p>
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