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672 results for “August”
Auguste Falisse (f2042)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Auguste Falisse<br><u>musiXplora-ID</u>: f2042<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/f2042">https://musixplora.de/mxp/f2042</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: 13 March 1883<br><u>Place of Birth</u>: Lüttich<br><u>Date of Death</u>: 04 February 1951<br><u>Place of Death</u>: Brüssel<br><u>First Mentioned</u>: 1905<br><u>Sectors</u>: Geigenbau<br><u>Professions (Musical)</u>: Geigenbauer<br><u>Other Places of Activity</u>: Brüssel, Mirecourt, Paris<br><br><br><u>Arbeitsumfeld:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>KollegInnen</td><td>Kollege</td><td>Leon Victor Mougenot</td><td><a href="https://musixplora.de/mxp/m2235">m2235</a></td></tr><tr><td>KollegInnen</td><td>Kollege</td><td>Charles Maucotel</td><td><a href="https://musixplora.de/mxp/m2267">m2267</a></td></tr><tr><td>KollegInnen</td><td>Kollege</td><td>Hippolyte Chrétien Silvestre</td><td><a href="https://musixplora.de/mxp/s4348">s4348</a></td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Lütgendorff 1990</td><td>Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. Teil 3: Ergänzungsband. Erstellt von Thomas Drescher. Lüt3</td><td><a href="https://musixplora.de/mxp/5002060">5002060</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
August Hermann Francke (f1945)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: August Hermann Francke<br><u>musiXplora-ID</u>: f1945<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/f1945">https://musixplora.de/mxp/f1945</a><br><u>Gender</u>: m<br><u>Date of Death</u>: 1882<br><u>Place of Death</u>: Undefined<br><u>First Mentioned</u>: 1865<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Klavierbauer<br><u>Main Place of Activity</u>: Leipzig<br><u>Other Places of Activity</u>: Freiberg<br><br><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Friedrich August Förster (f1949)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Friedrich August Förster<br><u>musiXplora-ID</u>: f1949<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/f1949">https://musixplora.de/mxp/f1949</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: 30 July 1829<br><u>Place of Birth</u>: Mittelherwigsdorf<br><u>Date of Death</u>: 18 February 1897<br><u>Place of Death</u>: Löbau<br><u>First Mentioned</u>: 1854<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Klavierbauer<br><u>Other Places of Activity</u>: Löbau<br><br><br><u>Personal:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Leitungsfunktion</td><td>Leiter</td><td>August Förster</td><td><a href="https://musixplora.de/mxp/3030461">3030461</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
August Ernst Fischer (f1954)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: August Ernst Fischer<br><u>musiXplora-ID</u>: f1954<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/f1954">https://musixplora.de/mxp/f1954</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1893<br><u>Last Mentioned</u>: 1909<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Instrumentenmacher<br><u>Professions (Musical)</u>: Zupfinstrumentenbauer<br><u>Other Places of Activity</u>: Markneukirchen<br><br><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Henkel 2013</td><td>Zitherbauer und -händler nach den Weltadreßbüchern von Paul de Wit. Unveröffentliches Ms.</td><td><a href="https://musixplora.de/mxp/5001813">5001813</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Oral cholera vaccine coverage survey, Goma, August 2022
<p>Dataset collected during Vaccination Coverage Survey for Oral Cholera Vaccine in Goma, August 2022</p>
East Palestine Soil Sample Analysis - August, 2023
<p>This data come from from Lard et al., in review.</p> <p><span>The 17 congeners measured in this analysis by gas chromatography mass spectrometry are: 1,2,3,4,6,7,8-HpCDD; 1,2,3,4,6,7,8-HpCDF; 1,2,3,4,7,8,9-HpCDF; 1,2,3,4,7,8-HxCDD; 1,2,3,4,7,8-HxCDF; 1,2,3,6,7,8-HxCDD; 1,2,3,6,7,8-HxCDF; 1,2,3,7,8,9-HxCDD; 1,2,3,7,8,9-HxCDF; 1,2,3,7,8-PeCDD; 1,2,3,7,8-PeCDF; 2,3,4,6,7,8-HxCDF; 2,3,4,7,8-PeCDF; 2,3,7,8-TCDD; 2,3,7,8-TCDF; OCDD; OCDF.</span></p> <p><span>Environmentally persistent free radicals were measured by electron paramagnetic resonance analysis.</span></p> <p><span>The ten metals analyzed by inductively coupled plasma mass spectrometry are: B, Ca, Cu, Fe, K, Mg, Mn, P, S, Zn</span></p> <p><span>Total organic carbon was measured by a total carbon analyzer.</span></p>
Lightning Data at Säntis Tower (August 2016)
<p>3 sets of lightning data (current and E-field) associated with 3 flashes to the Säntis tower occurred in August 2016.</p>
CTD Profiles from the HDMS Lauge Koch cruise to East Greenland fjords, August 2018
<p>Greenland fjords are currently undergoing large ecosystem changes due to unprecedented melting of the Greenland Ice Sheet (GrIS). The rapidly increasing discharge of meltwater and ice not only influences circulation patterns and stratification of the water column, but it also introduces large fluxes of allochthonous carbon and nutrients into the Greenland coastal environment, as well as transports large quantities of inorganic particles and suspended sediments which could limit light availability to primary producers. However, data is still limited for most Greenland fjord systems and the east coast of Greenland is especially understudied. During this cruise we investigated 3 different fjord systems of East Greenland in August 2018 aboard the HDMS Lauge Koch. We aimed to describe the physical, chemical and biological variability from glaciers to the shelf. This data set consists of 84 CTD profiles that were obtained with a Seabird SBE25 conductivity, temperature, depth (CTD) instrument. In addition to measuring pressure, conductivity, and temperature, the CTD recorded chlorophyll-a fluorescence, photosynthetically available radiation (PAR), dissolved oxygen, turbidity and pH. The instrument was factory calibrated before the cruise. The CTD recorded variables at 16 Hz and the raw data were processed using Seabird standard workflow to produce 0.1 m binned profiles using the downcast data only. This dataset compiles all CTD variables measured from all profiles into a single comma separated CSV file. </p> <p>We would like to thank the captain and crew of HDMS Lauge Koch for excellent collaboration. The cruise was funded by the Danish Center for Marine Research and by the EU Horizon2020 funded project INTAROS (grant no. 727890) and the Danish Cooperation for Environment in the Arctic.</p> <p> </p> <p> </p> <p> </p>
Reconstitution of August SPEI3 drought index based on the δ18O in tree-ring cellulose for the Eastern Carpathian, for the period 1331-2012CE
<p>Here we report the reconstruction of the summer (June to August) Standardized Precipitation-Evapotranspiration Index (SPEI3), for the period 1331-2012CE, for eastern Europe, based on annually-resolved stable oxygen isotope ratios (δ<sup>18</sup>O) from Pinus cembra L. tree-ring cellulose from the Călimani Mountains, Romania. Variations of the δ18O values capture the August SPEI3 changes both at high and low frequencies (from interannual to multidecadal scales).<br> <br> The palaeoclimate potential of stable isotopes in Pinus cembra L. (Swiss stone pine) tree-ring cellulose from the Călimani Mountains has been demonstrated by Nagavciuc et al. 2019 (DOI: 10.1002/joc.6349), showing that δ18O variability allows high-resolution paleoclimatic reconstructions over the eastern part of Europe, where few such reconstructions are available.</p>
Metal and nutrient content from submerged aquatic macrophytes collected from Southern Coeur d'Alene Lake, Idaho (USA) in August 2018.
<p>This repository contains data and R scripts used to produce the analyses reported in the manuscript listed below. See the Readme.txt and metadata.csv files for more explanation. The .R file can be used to unbundle the .tar.gz file via the packrat library. The data and script files are contained in the .tar.gz file. </p> <p>Scofield, B.D., Fields, S.F. & Chess, D.W. Aquatic macrophytes show distinct spatial trends in contaminant metal and nutrient concentrations in Coeur d’Alene Lake, USA. <em>Environ Sci Pollut Res</em> (2023). <a href="https://doi.org/10.1007/s11356-023-27211-x">https://doi.org/10.1007/s11356-023-27211-x</a></p>
FlexiGroBots - Blueberry orchard UAV dataset August 2022 - raw data
<p>This data represents the UAV image acquisition from August 2022 in blueberry orchards located in Babe, Serbia.</p> <p>This is the first part of larger dataset, that contains raw images and orthomosaics generated using these images. Raw images are in 100FPLAN, 101FPLAN, and 102PLAN, while generated orthomosaics are in folder Raw orthomosaics August.</p> <p>Another dataset will be uploaded with preprocessed data titled in the similar manner.</p>
Environmental and taxonomic data along the Thames River - Lake St. Clair continuum in Ontario, August 2020 to September 2023.
Data for this research were collected from water samples obtained along the Thames River- Lake St. Clair continuum to determine differences in water quality and biodiversity between river and lake sites. Sampling began in Lake St. Clair in August of 2020 in Stoney Point Ontario. Samples were taken from the intake well of the water treatment plant. The intake pipe is located approximately 1km off-shore, at a depth of 1.9m. To address spatial differences, a second site was added in Lake St. Clair in Belle River, Ontario and a river site was added in Chatham, Ontario. Belle River samples were collected from the intake well at the water treatment plant, with the intake pipe located approximately 1km off-shore and at a depth of 3.1m. Chatham samples were collected from the surface of the Thames River as grab samples. Samples from both locations were collected weekly to monthly throughout June to October, 2021. To further increase spatial resolution, samples were collected from the mouth of the Thames River in Lighthouse Cove, Ontario, from June to October 2022, and from this site and another river site in Prairie Siding, Ontario, from June to October 2023. They were collected as grab samples from the surface of the water. Each site was sampled weekly to monthly.
Ecosystem metabolism estimates from Lake Sunapee, NH, USA and meteorological driver data at the Newport, NH, USA NOAA NCDC weather station from August 2007 – December 2008
In August 2007, the Lake Sunapee Protective Association (LSPA) deployed a buoy in Lake Sunapee, NH with a meteorological station, dissolved oxygen sensor at 1 m, and a string of thermistor water temperature sensors collecting data every 10 minutes. For this dataset, the Lake Sunapee buoy was located at a location near Loon Island all year (August 2007–December 2008) including during the winter. We used high-frequency dissolved oxygen, photosynthetically active radiation (PAR), wind speed, and water temperature profile data to estimate daily rates of gross primary production, respiration, and net ecosystem production as metrics of ecosystem metabolism and carbon cycling. This dataset included under-ice data, and we compared seasonal changes in ecosystem metabolism rates for an entire lake year from the start of fall mixing in 2007 through the end of summer stratification in 2008. Under-ice and mixing periods are infrequently sampled due to logistical challenges and assumptions of low biological activity, resulting in limited understanding of the contribution of winter epilimnetic metabolism to annual carbon cycling. Using a continuous year of high-frequency dissolved oxygen data, we found that on average, under-ice net ecosystem production (NEP) was negative, in contrast to positive NEP for the spring and summer periods. Importantly, under-ice respiration was 1.2 times higher than summer respiration. Gross primary production was low but not absent under ice and increased during the last under-ice phase. Including winter metabolism estimates flipped annual NEP from autotrophy to heterotrophy, highlighting the importance of estimating metabolism year-round. Our methods for the data analysis are described in Brentrup et al. (accepted at Inland Waters) and were similar to Richardson et al. (2016) with some modifications described in the methods. This dataset also includes derived thermocline depth calculations from the water temperature thermistor data on the Lake Sunape
LiDAR data (August 2008) for the Andrews Experimental Forest and Willamette National Forest study areas
Watershed Sciences, Inc. collected Light Detection and Ranging (LiDAR) data from HJ Andrews and the Willamette National Forest (WNF) on August 10-11, 2008. Total area of the study are is 17,705 acres. The total area of delivered LiDAR including 100 m buffer is 19,493 acres. This data set includes the base products delivered by Watershed Sciences, and derived products (hill shades, slope and aspect grids, and contours). The base products include the point cloud data (LAS format), and the derived bare-earth and highest-hits digital elevation models (DEM). The DEMs are at 1 meter cell size resolution. The bare-earth DEM is a representation of the topography of the area, with all the vegetation removed. The highest-hit DEM is a representation of the first object the LiDAR system struck during data capture. This includes the bare-earth topography with vegetation and structures. The vegetation DEM is the result of subtracting the bare-earth DEM from the highest-hit DEM. The elevations are the heights of the vegetation. The final products are in ESRI GRID digital format, with a 1 meter cell size resolution. Each cell in the GRID has a value that represents the modeled elevation (either total elevation or vegetation height) at that location. The resulting DEM's were used to create slope, aspect, hill shade, and contour data for the area.
Belowground foodweb biomass from moist acidic tundra nutrient addition plots (since 1989, 1996, 2006) sampled June and August 2010.
Biomass of belowground community groups (bacteria, fungi, protozoa, nematodes, rotifers, tardigrades) determined for organic and mineral soils in moist acidic tundra.
Belowground foodweb biomass and soil CN and bulk density from moist acidic tundra nutrient addition plots (since 2006) sampled August 2012.
Biomass of soil rotifers, tardigrades, enchytraeids, protozoa and nematode groups from organic and mineral soils in moist acidic tundra nutrient addition plots (since 2006) sampled August 2012.
Precipitation cations and anions for June, July and August from a wet/dry precipitation, University of Alaska Fairbanks Toolik Field Station, North Slope of Alaska (68 degrees 37' 42"N, 149 degrees 35' 46"W), Arctic LTER 1989 to 2003
Precipitation, collected from a wet/dry precipitation collector located near University of Alaska Fairbanks Toolik Field Station, North Slope of Alaska (68 degrees 37' 42"N, 149 degrees 35' 46"W) was sent out for standardized EPA rain water analysis. Nutrient chemistry was also run on a sub sample at the field station.
Number of cyanobacteria in Toolik Lake at 1 meter depth during June, July and August 1996 , Arctic LTER, summer 1996.
Number of cyanobacteria in Toolik Lake at 1 meter depth during June, July and August 1996. Samples were transported to the Dept. of Fisheries and Oceans in West Vancouver, British Columbia, Canada for analysis.
Stage, flow, and suspended sediment data from nine "intensive" Coweeta-LTER watershed study sites from August 2010 to October 2011
Automated water samplers were deployed at nine "intensive" Coweeta-LTER watershed study sites from August 2010 to October 2011. They were set to record stream stage every 15 minutes. During six storm events, the samplers were set to collect 1000mL water samples hourly for 24 hours in order to sample suspended sediment during the rising and falling limbs of the hydrograph during storm flow.
Water Quality Data (Porewater) from the Taylor Slough, just outside Everglades National Park (FCE), from August 1998 to October 2006
Porewater samples are collected at SRS1b,SRS1c,SRS1d,SRS2,SRS3, TS/Ph-1-5 within the 1 m^ aboveground sawgrass nondestructive biomass plots. Airstones connected to Tygon tubing are inserted 10-15 cm below the soil surface. Biannually during the wet season, Monoject 140cc syringes are used to collect at least 80 mL of porewater sample and after collection they are immediately placed in an ice filled cooler. The lab processing of these samples include salinity measurements using a refractometer, and filtering the sample through a Whatman GF/F filter. Samples are analyzed for inorganic nutrients such as NO2-,NO3-,NH4+,SRP, and DOC. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques and DOC is quantified on a Shimadzu TOC Analyzer.
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.