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453 results for “Reanalysis”
Figure 11–18 in Reanalysis of the Yunnan population of Scorpiops kubani with a description of a new species, Scorpiops lowei sp. n. (Scorpiones: Scorpiopidae)
Figure 11–18: Scorpiops kubani, male paratype (11), and S. lowei sp. n. male, previous paratypes (12–18), carapace, under white light.
Figures 27–30 in Reanalysis of the Yunnan population of Scorpiops kubani with a description of a new species, Scorpiops lowei sp. n. (Scorpiones: Scorpiopidae)
Figures 27–30: Scorpiops lowei sp. n., sternopectinal area and pectines under UV light. Figures 27–28. Male holotype, sternopectinal area (27) and pectines (28). Figures 29–30. Female allotype, sternopectinal area (29) and pectines (30). Scale bar = 1 mm.
Figures 59–66 in Reanalysis of the Yunnan population of Scorpiops kubani with a description of a new species, Scorpiops lowei sp. n. (Scorpiones: Scorpiopidae)
Figures 59–66: Scorpiops lowei sp. n., metasoma and telson. Figures 59–62. Male holotype, lateral (59), dorsal (60), and ventral (61) views of metasoma and telson, and lateral view of telson (62). Figures 63–66. Female allotype, lateral (63), dorsal (64), and ventral (65) views of metasoma and telson, and lateral view of telson (66). Scale bar = 1 mm.
Figures 46–58 in Reanalysis of the Yunnan population of Scorpiops kubani with a description of a new species, Scorpiops lowei sp. n. (Scorpiones: Scorpiopidae)
Figures 46–58: Scorpiops lowei sp. n., female allotype, pedipalp chela dorsal (46), external (47) and ventral (48) view, patella dorsal (49), external (50) and ventral (51) view, femur and trochanter dorsal (52), external (53) and ventral (54) view, left movable finger (55), right movable finger (56), and dorsal (57) and ventral (58) views of chelicera. The trichobothrial pattern is indicated in Figures 47 and finger dentition is captioned in Figure 55–56. Scale bar = 1 mm.
Figure 77–83 in Reanalysis of the Yunnan population of Scorpiops kubani with a description of a new species, Scorpiops lowei sp. n. (Scorpiones: Scorpiopidae)
Figure 77–83: Finger dentition of different individuals of Scorpiops lowei sp. n., showing the maximum/minimum values recorded in the previous paratypes.
Figures 3–10 in Reanalysis of the Yunnan population of Scorpiops kubani with a description of a new species, Scorpiops lowei sp. n. (Scorpiones: Scorpiopidae)
Figures 3–10: Scorpiops kubani, male paratype, carapace under UV light (3), carapace under white light (4), sternopectinal area (5), dorsal view of pedipalp chela under white light (6), external view of pedipalp chela under white light (7), pedipalp movable finger under white light (8), dorsal view of pedipalp chela under UV light (9) and pedipalp movable finger under UV light (10).
Figures 25–26 in Reanalysis of the Yunnan population of Scorpiops kubani with a description of a new species, Scorpiops lowei sp. n. (Scorpiones: Scorpiopidae)
Figures 25–26: Scorpiops lowei sp. n., female allotype, carapace (25) and tergites I–VII (26) under UV light. Scale bar = 1 mm.
A High Resolution (3km) Reanalysis Database for Mediterranean Coastal Winds Downscaled from ERA5, using the WRF Model
<p>A high resolution (3km) reanalysis database of Mediterranean coastal winds was constructed to support a research on potential sailing mobility in Antiquity. The database was created by downscaling the ERA5 reanalysis database using the WRF numerical prediction model.</p> <p>A detailed description of the reanalysis database is provided in the attached PDF file. The database format is GRIB version 2 and the total volume of the data files is 435GB. The GRIB files are hosted at <a href="https://coastalwinds.haifa.ac.il">https://coastalwinds.haifa.ac.il</a> as their total volume exceeds the volume that could be provided by Zenodo. Required files can therefore be downloaded from this location.</p> <p><strong>Link to the GRIB data files and index map:</strong></p> <p><strong><a href="https://coastalwinds.haifa.ac.il">https://coastalwinds.haifa.ac.il</a></strong></p> <p><strong>Acknowledgements:</strong></p> <p>The Data Science Research Center (DSRC) at Haifa University kindly provided funding towards the creation of this data set.</p>
Detection of Atmospheric Rivers in the Northern Hemisphere based on ERA5 reanalysis data and the IPART algorithm, 1979-2020
<p># 1. Overview</p> <p>This is a catalogue of atmospheric river (AR) detections over the Northern Hemisphere, based on 6-hourly ERA5 reanalysis dataset and the Image-Processing based Atmospheric River Tracking (IPART) algorithm.</p> <p>Time domain of the data:</p> <ul> <li>From 1979-Jan-01 to 2020-Dec-31</li> <li>Temporal resolution is 6-hourly</li> </ul> <p>Spatial domain of the data:</p> <ul> <li>Northern Hemisphere, land and ocean</li> <li>Spatial resolution is 0.25 * 0.25 degrees latitude/longitude</li> </ul> <p>Input data from ERA5 include:</p> <ul> <li>Vertical integral of northward water vapour flux, in kg/(m s).</li> <li>Vertical integral of eastward water vapour flux, in kg/(m s).</li> </ul> <p>Data in the Northern Hemisphere domain (0 - 90 N), at 0.25 * 0.25 degrees latitude/longitude resolution are obtained from https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5.</p> <p>Version v3.0.8 of the IPART Python module used for detection and tracking of atmospheric rivers is preserved at <strong>10.5281/zenodo.4164826</strong>, available via Creative Commons Attribution 4.0 International license and developed openly at the Github repository https://github.com/ihesp/IPART.</p> <p># 2. File naming convention</p> <p>The data files are named using the following convention:</p> <p>ar_YYYYMM.nc</p> <p>where:</p> <ul> <li>YYYY: 4-digit year number</li> <li>MM: 2-digit month number</li> </ul> <p>E.g. `ar_199902.nc` means detections in Feb of 1999.</p> <p>Months are calendar months, including Feb-29th in leap-years.</p> <p># 3. Data format</p> <p>Data are saved in netCDF format.</p> <p>Each data file contains one 3-dimensional array, of a shape `(t, 360, 1440)`, where:</p> <ul> <li>`t`: length of the time dimension. Since data are 6-hourly, t equals 4 * num_of_days_in_month.</li> <li>`360`: latitude dimension, from 0 - 90N, with a 0.25-degree step.</li> <li>`1440`: longitude dimension, from 80 - 440 E (shifted eastward by 80 degrees to put both the Pacific and Atlantic oceans within the domain), with a 0.25-degree step.</li> </ul> <p>Each time slice of the data contains maps of the Northern Hemisphere, with integer values in grid cells. Possible values are:</p> <ul> <li>0: meaning no AR is detected in the grid cell.</li> <li>1, 2, ... ,n: integer labels, each corresponding to the region of an AR entity.</li> </ul> <p># 4. Important parameters in the IPART algorithm</p> <p>Here are the most important parameters used when detecting ARs from ERA5 data using the IPART python module:</p> <ul> <li> THR filtering kernel: `[16, 13, 13]`. `16` means 16 time slices, or equivalently 4 days given 6-hourly input data. `13` means 13 grid cells, or equivalently ~325 km, given 0.25 degrees latitude/longitude input data. Note that both of these temporal and spacial lengths are half of the sizes of the filtering kernel.</li> <li> minimum area: `50 * 1e4`, in km^2, minimum size of AR region candidates.</li> <li> maximum area: `1800 * 1e4`, in km^2, maximum size of AR region candidates.</li> <li> minimum L/W: `2.0`, minimum length/width ratio of AR region candiates.</li> <li> minimum length: `2000`, in km, minimum length of AR region candidates.</li> <li> minimum latitude: `20`, minimum latitude of the geometrical centroid of an AR region candidate.</li> <li> maximum latitude: `80`, maximum latitude of the geometrical centroid of an AR region candidate.</li> </ul> <p>For more details regarding these parameters, as well as the IPART algorithm, please refer to our published works:</p> <ul> <li>Xu, G., Ma, X., Chang, P., and Wang, L.: Image-processing-based atmospheric river tracking method version 1 (IPART-1), Geosci. Model Dev., 13, 4639–4662, https://doi.org/10.5194/gmd-13-4639-2020, 2020.</li> </ul> <p>Or the Github repository that houses the IPART module:</p> <ul> <li>https://github.com/ihesp/IPART</li> </ul>
Figures 388–392 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 388–392. Variation in sternite IV–V posterior margins in Grosphus and Teruelius. Posterior margins of sternites IV (upper panels) and sternite V (lower panels) of females of G. angulatus sp. n. (393), G. hirtus (394), G. madagascariensis (395), G. simoni (396), G. voahangyae (397), T. ankarafantsika (398), T. ankarana (399), T. limbatus (400), T. mahafaliensis (401) and T. olgae (402). Sternite midlines positioned near middle of each panel. UV fluorescence. Scale bars: 2 mm (393–396, 398–402), 1 mm (397).
Figures 334–335 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 334–335. Teruelius haeckeli sp. n., holotype male. Carapace and tergites (334) and coxosternal area and sternites (335). UV fluorescence.
Figures 336–337 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 336–337. Teruelius haeckeli sp. n., paratype female. Carapace and tergites (336) and coxosternal area and sternites (337). UV fluorescence.
Figures 380–387 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 380–387. Teruelius haeckeli sp. n., tarsi. Left basitarsi and telotarsi, legs I (380), II (382), III (384) and IV (386) in ventral (380, 382) and retrolateral (384, 386) views. Left telotarsi, legs I (381), II (383), III (385) and IV (387) in proventral (381, 383) and retroventral (385, 387) views.
Figures 332–333 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 332–333. Teruelius haeckeli sp. n., holotype male. Carapace and tergites (332) and pectinal area and sternites (333).
Figures 310–319 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 310–319. Grosphus angulatus sp. n. Figures 310– 313. Paratype female, right chelicera in dorsal (310–311) and ventral (312–313) views, under white light (310, 312) and UV fluorescence (311, 313). Scale bar: 1 mm. Figures 314– 317. Paratype female, right basitarsi and telotarsi in retrolateral views, legs I (314), II (315), III (316) and IV (317). Scale bar: 1 mm. Figures 318– 319. Holotype female, right chela dentition, fixed finger (318), movable finger (319). UV fluorescence. Scale bar: 1 mm.
Figures 287–288 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 287–288. Grosphus angulatus sp. n., holotype female. Carapace and tergites (287) and coxosternal area and sternites (288). Scale bar: 2 mm. UV fluorescence.
Figures 320–327 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 320–327. Grosphus angulatus sp. n., variation in female bpt. Figures 320– 324. Basal pectines showing bpt shapes of holotype (322) and four paratypes (320–321, 323– 324). White arrow (320) indicates partially modified intermediate tooth bearing a sensorial area (cf. Figs. 43–44). Figure 325. Basal pectines of female G. hirtus showing typical bpt shape. UV fluorescence (320–325). Figures 326– 327. Bivariate scatter plots of bpt scores of G. angulatus sp. n. (black circles) and G. hirtus (gray circles) for principal components PC2 vs. PC1 (326) and PC4 vs. PC3 (327) obtained from PCA of 32 Fourier coefficients from up to eighth order harmonic terms in EFA of bpt shapes of Grosphus and Teruelius (cf. Figs. 29– 33).
Figures 328–331 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 328–331. Teruelius haeckeli sp. n., habitus. Figures 328– 329. Holotype male in dorsal (328) and ventral (329) views. Figures 330–331. Paratype female in dorsal (330) and ventral (331) views. Scale bars: 10 mm.
Figures 304–309 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 304–309. Grosphus angulatus sp. n., pedipalp segments of female holotype (304–306, 308–309) and female paratype (307) with trichobothrial pattern indicated. Chela in external (304) and ventral (305) views. Patella in dorsal (306) and external (307) views. Femur in dorsal (308) and internal (309) views.
Figures 289–303 in Reanalysis of Teruelius and Grosphus (Scorpiones Buthidae with descriptions of two new species
Figures 289–303. Grosphus angulatus sp. n. Figures 289–300. Left pedipalp chela (289, 292, 295, 298), patella (290, 293, 296, 299) and femur (291, 294, 297, 300) in dorsal (289–291), external (292–294), ventral (295–297) and internal (298–300) views. All are holotype female except external patella (293) from a paratype female, as the left trichobothrium esb is missing in the holotype. Scale bar: 2 mm. UV fluorescence. 1 Figures 301–303. Metasoma and telson of paratype female in ventral (301), left lateral (302) and dorsal (303) views. Scale bar: 4 mm. UV fluorescence.
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.