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6 results for “Silver Lake”
Figure 1 in Morphological, histological and molecular characteristics of Myxobolus spp. (Cnidaria: Myxozoa) infecting the kidney of silver carp in Lake Taihu
Figure 1. Spores of Myxobolus lieni (Nie & Li, 1973) (A–B) and M. varius (Achmerov, 1960) (C–D) from Hypophthalmichthys molitrix, line drawings. Scale bars = 2 μm.
Figure 2 in Morphological, histological and molecular characteristics of Myxobolus spp. (Cnidaria: Myxozoa) infecting the kidney of silver carp in Lake Taihu
Figure 2. Spores of Myxobolus lieni (Nie & Li, 1973) (A–B) and M. varius (Achmerov, 1960) (C–D) from Hypophthalmichthys molitrix, digitized images. Scale bars = 10 μm.
Figure 3 in Morphological, histological and molecular characteristics of Myxobolus spp. (Cnidaria: Myxozoa) infecting the kidney of silver carp in Lake Taihu
Figure 3. Histopathological sections of Hypophthalmichthys molitrix kidney infected by Myxobolus spp. A–C. M. lieni (Nie & Li, 1973), in the renal tubules; D. M. varius (Achmerov, 1960), in the renal interstitium. Arrows indicate the plasmodia which contains 2–4 mature myxospores. Scale bars = 10 μm.
Figure 4 in Morphological, histological and molecular characteristics of Myxobolus spp. (Cnidaria: Myxozoa) infecting the kidney of silver carp in Lake Taihu
Figure 4. Bayesian inference trees constructed with the SSU rDNA sequences. Numbers near the nodes shows the posterior probability and bootstrap values of BI and maximum likelihood (ML), respectively. Information of GenBank accession number, infection site, host and locality follows the species name. Abbreviations: B—brain; E—encephalocoele; F—fin; G—gills; GA—gill arch; GL— capillary network of the gill lamellae; H—heart; I—intestine; K—kidney; M—mesentery; MP- palate of the mouse; MC—muscle cells; SB—swim bladder; UB—urinary bladder.
Niwot Ridge site, station Silver Lake, study of ice duration in units of daysPerYear 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 Niwot Ridge (NWT) contains ice duration measurements in daysPerYear units and were aggregated to a yearly timescale.
On following pages: 36. Nelson's Collared Lemming (Dicrostonyx nelsoni); 37. Ogilvie Mountains Collared Lemming (Dicrostonyx nunatakensis); 38. Richardson's Collared Lemming (Dicrostonyx richardsoni); 39. Palearctic Collared Lemming (Dicrostonyx torquatus); 40. Unalaska Collared Lemming (Dicrostonyx unalascensis); 41. Gray Red-backed Vole (Craseomys rufocanus); 42. Hokkaido Red-backed Vole (Craseomys rex); 43. Korean Red-backed Vole (Craseomys regulus); 44. Shanxi Red-backed Vole (Craseomys shanseius); 45. Anderson's Red-backed Vole (Craseomys anderson); 46. Smith's Red-backed Vole (Craseomys smithii); 47. Western Red-backed Vole (Myodes californicus); 48. Southern Red-backed Vole (Myodes gapperi); 49. Bank Vole (Myodes glareolus); 50. Tian Shan Red-backed Vole (Myodes centralis); 51. Large-eared Vole (Myodes macrotis); 52. Northern Red-backed Vole (Myodes rutilus); 53. Silver Mountain Vole (Alticola argentatus); 54. White-tailed Mountain Vole (Alticola albicauda); 55. Kashmir Mountain Vole (Alticola montosus); 56. Royle's Mountain Vole (Alticola roylei); 57. Strelzov's Mountain Vole (Alticola strelzovi); 58. Tuva Mountain Vole (Alticola tuvinicus); 59. Gobi Altai Mountain Vole (Alticola barakshin); 60. Lake Baikal Mountain Vole (Alticola olchonensis); 61. Mongolian Mountain Vole (Alticola semicanus); 62. Stoliczka's Mountain Vole (Alticola stoliczkanus); 63. Lemming Mountain Vole (Aschizomys lemminus); 64. Gansu Red-backed Vole (Caryomys eva); 65. Kolan Red-backed Vole (Caryomys inez): 66. Pere David's Red-backed Vole (Eothenomys melanogaster); 67. Yunnan Red-backed Vole (Eothenomys miletus); 68. Sichuan Red-backed Vole (Eothenomys chinensis); 69. Southwest China Red-backed Vole (Eothenomys custos); 70. Black-eared Red-backed Vole (Eothenomys oliton; 71. Yulongxuen Red-backed Vole (Eothenomys proditor); 72. Ward's Red-backed Vole (Eothenomys ward); 73. Hinton's Red-backed Vole (Eothenomys hintoni); 74. Tarquinius Red-backed Vole (Eothenomys tarquinius); 75. Burrowing Vole (Hyperacrius fertilis); 76. Murree Vole (Hyperacrius wynnei). in Cricetidae
On following pages: 36. Nelson's Collared Lemming (Dicrostonyx nelsoni); 37. Ogilvie Mountains Collared Lemming (Dicrostonyx nunatakensis); 38. Richardson's Collared Lemming (Dicrostonyx richardsoni); 39. Palearctic Collared Lemming (Dicrostonyx torquatus); 40. Unalaska Collared Lemming (Dicrostonyx unalascensis); 41. Gray Red-backed Vole (Craseomys rufocanus); 42. Hokkaido Red-backed Vole (Craseomys rex); 43. Korean Red-backed Vole (Craseomys regulus); 44. Shanxi Red-backed Vole (Craseomys shanseius); 45. Anderson's Red-backed Vole (Craseomys anderson); 46. Smith's Red-backed Vole (Craseomys smithii); 47. Western Red-backed Vole (Myodes californicus); 48. Southern Red-backed Vole (Myodes gapperi); 49. Bank Vole (Myodes glareolus); 50. Tian Shan Red-backed Vole (Myodes centralis); 51. Large-eared Vole (Myodes macrotis); 52. Northern Red-backed Vole (Myodes rutilus); 53. Silver Mountain Vole (Alticola argentatus); 54. White-tailed Mountain Vole (Alticola albicauda); 55. Kashmir Mountain Vole (Alticola montosus); 56. Royle's Mountain Vole (Alticola roylei); 57. Strelzov's Mountain Vole (Alticola strelzovi); 58. Tuva Mountain Vole (Alticola tuvinicus); 59. Gobi Altai Mountain Vole (Alticola barakshin); 60. Lake Baikal Mountain Vole (Alticola olchonensis); 61. Mongolian Mountain Vole (Alticola semicanus); 62. Stoliczka's Mountain Vole (Alticola stoliczkanus); 63. Lemming Mountain Vole (Aschizomys lemminus); 64. Gansu Red-backed Vole (Caryomys eva); 65. Kolan Red-backed Vole (Caryomys inez): 66. Pere David's Red-backed Vole (Eothenomys melanogaster); 67. Yunnan Red-backed Vole (Eothenomys miletus); 68. Sichuan Red-backed Vole (Eothenomys chinensis); 69. Southwest China Red-backed Vole (Eothenomys custos); 70. Black-eared Red-backed Vole (Eothenomys oliton; 71. Yulongxuen Red-backed Vole (Eothenomys proditor); 72. Ward's Red-backed Vole (Eothenomys ward); 73. Hinton's Red-backed Vole (Eothenomys hintoni); 74. Tarquinius Red-backed Vole (Eothenomys tarquinius); 75. Burrowing Vole (Hyperacrius fertilis); 76. Murree Vole (Hyperacrius wynnei).
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
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Annotated Behaviour and Observability Dataset (ABODe)
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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.