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data&result of Time Series Surface Water Reconstruction Method (TSWR) based on Spatial Relationship of Multi-stage Water Boundaries
<p>It is a dataset for a paper of Time Series Surface Water Reconstruction Method (TSWR) based on Spatial Relationship of Multi-stage Water Boundaries.</p>
2020 Spring & Summer Seminar Series
<p>These online seminars were organized by Prof. Dr. Bayram Tekin, and were given during the Spring & Summer 2020. Although they are not technically part of ATITPhysics community, they are precursor to it and hence are shared here as well.<br> <br> The talks were given on the days April 23rd (Gürses & Dereli), May 8th (Albayrak), May 22nd (Ünal), May 29th (Karaçaylı), June 5th (Dumlu), June 19th (Elbistan), July 3rd (Kutluk), and July 10th (Yetişmişoğlu)</p>
ERA5-Land weekly: Total precipitation, weekly time series for Europe at 1 km resolution (2016 - 2020)
<p>Overview:<br> ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past.</p> <p>Total precipitation:<br> Accumulated liquid and frozen water, including rain and snow, that falls to the Earth's surface. It is the sum of large-scale precipitation (that precipitation which is generated by large-scale weather patterns, such as troughs and cold fronts) and convective precipitation (generated by convection which occurs when air at lower levels in the atmosphere is warmer and less dense than the air above, so it rises). Precipitation variables do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. This variable is accumulated from the beginning of the forecast time to the end of the forecast step. The units of precipitation are depth in metres. It is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model variables with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.</p> <p>Processing steps:<br> The original hourly ERA5-Land data has been spatially enhanced from 0.1 degree to 30 arc seconds (approx. 1000 m) spatial resolution by image fusion with CHELSA data (V1.2) (https://chelsa-climate.org/). For each day we used the corresponding monthly long-term average of CHELSA. The aim was to use the fine spatial detail of CHELSA and at the same time preserve the general regional pattern and fine temporal detail of ERA5-Land. The steps included aggregation and enhancement, specifically:<br> 1. spatially aggregate CHELSA to the resolution of ERA5-Land<br> 2. calculate proportion of ERA5-Land / aggregated CHELSA<br> 3. interpolate proportion with a Gaussian filter to 30 arc seconds<br> 4. multiply the interpolated proportions with CHELSA<br> Using proportions ensures that areas without precipitation remain areas without precipitation. Only if there was actual precipitation in a given area, precipitation was redistributed according to the spatial detail of CHELSA.</p> <p>The spatially enhanced daily ERA5-Land data has been aggregated on a weekly basis starting from Saturday for the time period 2016 - 2020.<br> Data available is the weekly average of daily sums and the weekly sum of daily sums of total precipitation.</p> <p>File naming:<br> Average of daily sum: <code>era5_land_prectot_avg_weekly_YYYY_MM_DD.tif</code><br> Sum of daily sum: <code>era5_land_prectot_sum_weekly_YYYY_MM_DD.tif</code></p> <p>The date in the file name determines the start day of the week (Saturday).</p> <p>Pixel values:<br> mm * 10<br> Example: Value 218 = 21.8 mm</p> <p>Coordinate reference system:<br> ETRS89 / LAEA Europe (EPSG:3035) (EPSG:3035)</p> <p>Spatial extent:<br> north: 82:00:30N<br> south: 18N<br> west: 32:00:30W<br> east: 70E</p> <p>Spatial resolution:<br> 1km</p> <p>Temporal resolution:<br> weekly</p> <p>Period:<br> 01/01/2016 - 12/31/2020</p> <p>Lineage:<br> Dataset has been processed from original Copernicus Climate Data Store (ERA5-Land) data sources. As auxiliary data CHELSA climate data has been used.</p> <p>Software used:<br> GDAL 3.2.2 and GRASS GIS 8.0.0 (r.resamp.stats -w; r.relief)</p> <p>Original ERA5-Land dataset license:<br> <a href="https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf">https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf</a></p> <p>CHELSA climatologies (V1.2):<br> Data used: Karger D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E, Linder, H.P., Kessler, M. (2018): Data from: Climatologies at high resolution for the earth's land surface areas. Dryad digital repository. <a href="http://dx.doi.org/doi:10.5061/dryad.kd1d4">http://dx.doi.org/doi:10.5061/dryad.kd1d4</a><br> Original peer-reviewed publication: Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., Kessler, M. (2017): Climatologies at high resolution for the Earth land surface areas. Scientific Data. 4 170122. <a href="https://doi.org/10.1038/sdata.2017.122">https://doi.org/10.1038/sdata.2017.122</a></p> <p>Other resources:<br> <a href="https://data.mundialis.de/geonetwork/srv/eng/catalog.search#/metadata/601ea08c-0768-4af3-a8fa-7da25fb9125b">https://data.mundialis.de/geonetwork/srv/eng/catalog.search#/metadata/601ea08c-0768-4af3-a8fa-7da25fb9125b</a></p> <p>Format: GeoTIFF</p> <p>Representation type: Grid</p> <p>Processed by:<br> mundialis GmbH & Co. KG, Germany (<a href="https://www.mundialis.de/">https://www.mundialis.de/</a>)</p> <p>Contact:<br> mundialis GmbH & Co. KG, info@mundialis.de</p>
Distribution. NW Argentina (NW Rioja), known only from the Sierra de Famatina, the type series was from 35 km N of Nevado de Famatina Mt. in Abrocomidae
Distribution. NW Argentina (NW Rioja), known only from the Sierra de Famatina, the type series was from 35 km N of Nevado de Famatina Mt.
Crop visitation by wild bees declines over an 8‐year time series: A dramatic trend, or just dramatic between‐year variation?
<p>Despite widespread recognition of the need for long-term monitoring of pollinator abundances and pollination service provision, such studies are exceedingly rare.</p> <p>In this study, we assess changes in bee visitation and net capture rates at watermelon crop flowers at 19 farms in the mid-Atlantic region of the USA from 2005 to 201</p> <p>Over the eight years, we found a 58% decline in wild bee visitation to crop flowers, but no significant change in honeybee visitation rate. Most types of wild bees showed similar declines in both the visitation and the net capture data; bumblebees however declined by 56% in the visitation data but showed no change in net capture rates.</p> <p>While we detected large and significant declines in wild bees when using GLMM models, permutation analyses that account for non-directional variation in abundance were non-significant, demonstrating the challenge of identifying and describing trends in highly variable populations.</p> <p>As far as we are aware, this paper represents one of fewer than 10 published time series (defined as >5 years of data) studies of changes in bee abundance, and one of only two such studies conducted in an agricultural setting. More such studies are needed in order to understand the magnitude of bee decline and its ramifications for crop pollination.</p>
Subspecies and Distribution. D. d. dorianus Ramsay, 1883 — SE Papua New Guinea. D. d. mayri Rothschild & Dollman, 1933 — Wondiwoi Peninsula, West Papua. D. d. notatus Matschie, 1916 — E Central Range, Papua New Guinea. D. d. stellarum Flannery & Seri, 1990 — W Central Range from C West Papua (Paniai Lakes) E to W Papua New Guinea (Hak-Orn region, NE of Telefomin). in Macropodidae
Subspecies and Distribution. D. d. dorianus Ramsay, 1883 — SE Papua New Guinea. D. d. mayri Rothschild & Dollman, 1933 — Wondiwoi Peninsula, West Papua. D. d. notatus Matschie, 1916 — E Central Range, Papua New Guinea. D. d. stellarum Flannery & Seri, 1990 — W Central Range from C West Papua (Paniai Lakes) E to W Papua New Guinea (Hak-Orn region, NE of Telefomin).
FIGURE 1. The Koch series, Heft 9, selected pages. A in On the dates of publication of four European species of Scolopendra Linnaeus 1758 described by C. L. Koch (Myriapoda, Chilopoda)
FIGURE 1. The Koch series, Heft 9, selected pages. A. Title page (Label) [glued on the front of the cardboard slipcase]. B. Outer front wrapper of thick, dusky pink paper. It depicts the register of contents. C. First page of letterpress with the description of Scolopendra italica Koch. The numbering of this page is on top left, highlighted and enlarged by present authors. D. Second page of letterpress with continuation of the description of S. italica and followed by the section "Anmerkung" (note). The two red arrows point to the descriptions of S. graeca and S. clavipes. E. Colour lithograph of S. italica, with plate and species number 9. 1. (highlighted and enlarged by the present authors) and long vertical scale bar pointing the actual size of the described Scolopendra. (Holding Library: Bayerische Staatsbibliothek, München, Germany)
Data from: Brachiopods from the Byrd Group (Cambrian Series 2, Stage 4), Central Transantarctic Mountains, East Antarctica
Brachiopods from Cambrian Series 2, Stage 4 carbonate strata of the Byrd Group in the Central Transantarctic Mountains, East Antarctica, are described for the first time. These include six lingulate, one paterinate, and one rhynchonelliform taxa, including the new lingulate brachiopod <i>Plicarmus wildi</i> gen. et sp. nov. The assemblage correlates closely to the brachiopods recently reported from the Xinji Formation (Shuiyu section) in North China, as well as brachiopods recovered from the <i>Dailyatia odyssei</i> Zone across the Arrowie Basin of South Australia. The first unambiguous example of the acrotretid brachiopod <i>Eohadrotreta zhenbaensis</i> Li and Holmer 2004 outside South China is also identified in the context of its ontogenetic stages. Well preserved specimens of the acrotheloid <i>Schizopholis yorkensis</i> (Holmer and Ushatinskaya in Gravestock et al., 2001) facilitates a new reconstruction of its musculature and visceral region. This data is synthesised into a new cladistic analysis that resolves Acrotheloidea as a well-supported monophyletic clade and supports previous notions of a morphocline in acrotheloid evolution.
Size spectrum, time series and atom number distribution of macroalgal emission vapors and oxidation products
<p>We conducted oxidation and NPF experiments with vapor emissions from real-world coastal macroalgae in a bag reactor. The dataset showed the measurement results of volatile precursors and their oxidation products. The dataset was organized by the order of figures in our submitted manuscript.</p>
Figure 5 in Re-discovery of the type series of the Indian freshwater mussel Parreysia corrugata (O. F. Müller, 1774) with the designation of the lectotype (Bivalvia: Unionidae: Parreysiinae)
Figure 5. Principal component analysis scatter plot based on Fourier coefficients of the shell contours of Parreysia corrugata and Potomida semirugata: (а) PC1 vs PC2; and (b) PC2 vs PC4. The smaller circles indicate recent samples of the two species (see the legend). The stars indicate the paralectotypes of P. corrugata (the incongruent one is red), and the diamond indicates the lectotype of this species (NHMD 916309). The violet circle indicates the shell picture published by Chemnitz (1782, pl. 3, fig. 22a), and the yellow circle indicates the shell picture published by Müller (1779, pl. 3b, fig. 7). The coloured lines enclose 95% confidence ellipses. The PC1 axis describes 70.5%, the PC2 axis describes 8.3%, and PC4 describes 5.7% of the total variation. Synthetic outlines of the 'extreme' shell morphotypes are shown on four sides of the scatter plot. Information on shell lots and pictures used in the analyses is given in Supplementary data set 1.
Figure 4 in Re-discovery of the type series of the Indian freshwater mussel Parreysia corrugata (O. F. Müller, 1774) with the designation of the lectotype (Bivalvia: Unionidae: Parreysiinae)
Figure 4. Shells of Potomida semirugata, including the incongruent paralectotype of the composite taxon Parreysia corrugata: (a) NHMD 916687 (formerly NHMD 916310: larger shell; paralectotype of P. corrugata): collecting locality unknown (outer view of the right valve and inner view of the left valve); (b) the same shell (vice versa); (c) USNM 85182: Bagdad, Iraq (outer view of the right valve and inner view of the left valve); (d) the same shell (vice versa); (e) USNM 85856: Emesi, Lake Homs, River Orontes, Northern Syria (outer view of the left valve and inner view of the right valve); (f) RMBH biv 309/1: Karasu River, Orontes Basin, Hatay Province, Turkey. Scale bar = 10 mm. (Photos: Tom SchiØtte [a,b], NMNH collection database under a CC0 1.0 licence [c–e], and Ilya Vikhrev [f]).
Figure 2 in Re-discovery of the type series of the Indian freshwater mussel Parreysia corrugata (O. F. Müller, 1774) with the designation of the lectotype (Bivalvia: Unionidae: Parreysiinae)
Figure 2. The lectotype of Parreysia corrugata (shell lot NHMD 916309; designated in this study). (a,b) Possible historical pictures of the lectotype: (a) outer view of the left valve (Müller 1779, pl. 3b, fig. 7); and (b) inner view of the left valve (Müller 1779, pl. 3b, fig. 8). (c–f) Photos of the lectotype: (c) outer view of the left valve; (d) outer view of the right valve; (e) inner view of the left valve; and (f) inner view of the right valve. (g) Old (nineteenth century) label of the lectotype. Scale bar = 10 mm. (Photos: Tom SchiØtte).
Figure 1 in Re-discovery of the type series of the Indian freshwater mussel Parreysia corrugata (O. F. Müller, 1774) with the designation of the lectotype (Bivalvia: Unionidae: Parreysiinae)
Figure 1. Map of the Indian subcontinent (India and surrounding countries). The light green shading shows the Coromandel Coast, representing the vague type locality of Parreysia corrugata. The red star indicates Tranquebar (now Tharangambadi town), a former Danish colony on the Coromandel Coast, the name of which is written on the old (nineteenth century) labels of the type specimens. The map was created using ESRI ArcGIS 10 software (https://www.esri.com/arcgis); its topographic base was compiled with Natural Earth Free Vector and Raster Map Data (https://www.naturalearthdata.com) and Global Self-consistent Hierarchical High-resolution Geography (https://www.soest.hawaii.edu/ wessel/gshhg). (Map: Mikhail Y. Gofarov).
Figure 3 in Re-discovery of the type series of the Indian freshwater mussel Parreysia corrugata (O. F. Müller, 1774) with the designation of the lectotype (Bivalvia: Unionidae: Parreysiinae)
Figure 3. Paralectotypes of Parreysia corrugata. (a,b) Old (nineteenth century) labels of the paralectotypes: (a) paralectotype NHMD 916310; and (b) paralectotype NHMD 916311. (c–f) Paralectotype shells: (c) NHMD 916310 (outer view of the right valve and inner view of the left valve); (d) the same shell (vice versa); (e) NHMD 916311 (outer view of the right valve and inner view of the left valve); and (f) the same shell (vice versa). Scale bar = 10 mm. (Photos: Tom SchiØtte).
Historic daily air temperature and precipitation series data for Wudaoliang and Tuotuohe sations (2009-2021)
<p>This dataset contains the historic daily air temperature and precipitation for Wudaoliang and Tuotuohe sations in Qinghai Province from 2009 to 2021</p>
FrenchPiezo: the French mainland groundwater level multivariate time series
<p><strong>THIS REPOSITORY IS INCOMPLETE, THE CORRECT DATASET IS AT: <a href="https://zenodo.org/record/7193812#.Y3-ThhTMLic">FrenchPiezo| 7193812#.Y3-ThhTMLic</a> </strong></p> <p>This dataset is a multivariate time series of groundwater level (a.k.a piezometric level) measured by sensors in many cities in the French mainland from January 2015 to January 2021 (2,221 days). The dataset contains 1026 multivariate time series composed of three dimensions sampled daily:</p> <ul> <li><strong>p: </strong>groundwater level</li> <li><strong>tp: </strong>precipitation</li> <li><strong>e: </strong>evapotranspiration</li> </ul> <p>Each time series is identified by a <strong>bss code </strong> which is the identifier of the piezometer using to collect the associated groundwater level.</p> <p>The groundwater level is collected from <a href="https://hubeau.eaufrance.fr/">Hub'Eau</a>, the french service for accessing water data. The precipitation and evapotranspiration are collected from the Copernicus ERA5 climate database. </p> <p>The file <em>dataset_2015_2021.csv</em> contains the raw dataset with missing values</p> <p>The file <em>dataset_nomissing_linear.csv</em> is similar to the previous one, but the missing data have been imputed using linear interpolation.</p> <p> </p> <p>More details about this dataset with source code for collecting it can be found in our paper: </p> <p>```</p> <p>Mbouopda, Michael Franklin, et al. "Experimental study of time series forecasting methods for groundwater level prediction." <em>ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data</em>. 2022.</p> <p>```</p>
Hydromedusa Fabienna sphaerica Schuchert, 1996 video of living specien of type series
<p>Fabienna sphaerica Schuchert, 1996 living medusa of type series (most likely holotype)</p> <p>Family Magapiidae, Order Anthoathecata, Class Hydrozoa Phylum Cnidaria</p> <p>date collected: 30.08.1994</p> <p>Location: New Zealand, Wellington, Seatoun; -41.3186 174.8303; depth 0-1 m.</p>
FIGURE 2 in Rediscovery of the type series of the Sacred Shrew, Sorex religiosus I. Geoffroy Saint-Hilaire, 1826, with additional notes on mummified shrews of ancient Egypt (Mammalia: Soricidae)
FIGURE 2. Mummified remains of Sorex religiosus (figure 1, top), the middle-size shrew (figure 2, middle: Crocidura floweri?), and Crocidura olivieri (figure 3, bottom) from Thebes (I. Geoffroy Saint-Hilaire, 1827b: Plate 4, Figure 1). The shrews illustrated in figs. 1 & 2 are now lost; the specimen of C. olivieri is identifiable as ÄM 7044. Image from the Biodiversity Heritage Library (www.biodiversitylibrary.org). Digitized by Smithsonian Libraries, Washington. Original page is ca. 258 x 190 mm.
FIGURE 1 in Rediscovery of the type series of the Sacred Shrew, Sorex religiosus I. Geoffroy Saint-Hilaire, 1826, with additional notes on mummified shrews of ancient Egypt (Mammalia: Soricidae)
FIGURE 1. Map of northeastern Egypt, showing the distribution of Crocidura religiosa along the Nile River valley. Symbols: solid triangle, original type locality at Thebes; open triangles, other ancient necropoli (Lortet & Gaillard, 1903; Boessneck, 1988; Kessler, 2007); solid square, Corbet's (1978) neotype locality at Giza; solid dots, modern specimen localities (de Winton, 1902; Bonhote, 1909, 1912; Flower, 1932; Setzer, 1957; Osborn & Helmy, 1980; Handwerk, 1990, 1998). A presumed Pleistocene record from Bir Tarfawi, southern Egypt (Kowalski et al., 1989) is not included.
FIGURE 5. X in Rediscovery of the type series of the Sacred Shrew, Sorex religiosus I. Geoffroy Saint-Hilaire, 1826, with additional notes on mummified shrews of ancient Egypt (Mammalia: Soricidae)
FIGURE 5. X-ray (A) and micro-CT-scans (B-E) of the skull of the lectotype AM 690 of Sorex religiosus I. Geoffroy Saint- Hilaire, 1826 (GLS 15.3 mm): A, B, lateral views; C, sagittal cross section: D, dorsal view; E, ventral view. See the interactive 3D scan in Fig. S2.
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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)
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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.