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657 results for “July”
Observational rainfall data of the 2021 mid-July flood event in Belgium – Part 2. Radar product RADFLOOD21
<p>From July 13th to 16th 2021, a long period of sustained and heavy rainfall affected Central Europe producing extreme rainfall amounts in western Germany, eastern Belgium, Luxembourg and The Netherlands. In Belgium, this unusual event induced massive flooding on a large part of the country and was responsible for 39 fatalities and strong damages to buildings and infrastructures.</p><p>Such extremely rare event needs to be documented as much as possible and data must be made available for further studies in hydrology, in urban planning and, more generally, in all multi-disciplinary studies aiming at identifying and understanding all factors leading to such disaster.</p><p>The observational rainfall data available for Belgium during the period from July 13th to July 16th 2021 are here shared with the scientific community. These data are twofold and provided in 2 parts:</p><p><br><strong>Part 1. </strong><a href="https://doi.org/10.5281/zenodo.7739983"><strong>Observations from high-quality rain gauges</strong></a></p><p>The dataset includes daily precipitation accumulation recorded by 323 weighing and manual rain gauges in Belgium as well as 5-min precipitation data recorded by 168 weighing rain gauges. These data were checked for possible errors and inconsistencies.</p><p>The rain gauges observations are provided in csv format in 2 files:</p><ul><li>RainGaugesData_FLOOD21_daily.csv</li><li>RainGaugesData_FLOOD21_5min.csv</li></ul><p><br><strong>Part 2. </strong><a href="https://doi.org/10.5281/zenodo.7740059"><strong>Radar-based quantitative precipitation estimation (RADFLOOD21)</strong></a></p><p>This product provides a quantitative precipitation estimation of the event at high spatial (i.e., 1 km) and temporal (i.e., 5 min and hourly) resolutions. It is obtained after a careful processing of the weather radar measurements and a merging with rain gauge measurements. The data is provided in hdf5 format. In addition, an animation of the 5-min RADFLOOD21 data is also made available.</p><p> </p><p>These data are exposed and discussed in <a href="https://hess.copernicus.org/articles/27/3169/2023/">https://hess.copernicus.org/articles/27/3169/2023/</a>. In particular, several analyses of these data are performed to describe the spatial and temporal distribution of rainfall during the event and to illustrate its exceptional character.</p><p> </p>
Acoustic optical survey data for snapper survey in shark bay July 2020
<p>Dataset to accompany Scoulding et al. 2023. Estimating abundance of fish associated with structured habitats by combining<strong> </strong>acoustics and optics. Journal of Applied Ecology.</p> <p>The dataset includes:</p> <p>1. Acoustic integration outputs from Echoview</p> <p>2. Snapper lengths from RUV deployments</p> <p>3. Snapper lengths from commercial catch</p> <p>4. Fish species length-weight relationships</p> <p>5. Habitat validation determined from camera deployments</p> <p>6. Proportions of fish species determined per RUV deployment</p> <p>Raw data files (acoustic and optics) are too large for inclusion in this repository but can be provided on request. The Python code used to analysis the data is being packaged and will be added to the repository once complete.</p>
Drone orthomosaic and DEM of the coastline near Qaamasoq north of Paamiut on 2 July 2022
<p>This dataset consists of a digital elevation model (DEM) and an orthomosaic of the coastline at Qaamasoq, near the town of Paamiut. The DEM and orthomosaic were produced from 247 aerial images that were acquired by an Autel Evo II drone on 2 July 2022. The images were processed using Agisoft Metashape Professional (version 1.7.1) following protocols established by the United States Geological Survey (USGS) for drone surveys of coastal regions (Over et al., 2021). The drone survey was conducted as part of a sailing science expedition that was funded by the German Scholars Organization and supported by Helmholtz-Zentrum Hereon.</p> <p>Over et al. (2021) Processing Coastal Imagery With Agisoft Metashape Professional Edition, Version 1.6—Structure From Motion Workflow Documentation. USGS Open File Report 2021-1039. doi:10.3133/ofr20211039. <a href="https://pubs.er.usgs.gov/publication/ofr20211039">https://pubs.er.usgs.gov/publication/ofr20211039</a></p>
ASTER L1A v.3 data over Mt. Rainier on July 31st, 2017
<p>This ASTER L1A dataset was procured from <a href="https://www.earthdata.nasa.gov/">NASA EarthData portal</a> and is provided here so that it can be accessed for the <a href="https://github.com/uw-cryo/asp-binder-demo/tree/master">open-source stereo processing tutorial</a>.</p>
Abb. 3 in Vereinsausflug 2013 des EVB in die Surselva (GR) (6.-7. Juli 2013)
Abb. 3. Die Käferspezialisten Christoph Germann und Michael Geiser bei der Gesiebeprobe in den Bergen. (Foto Christoph Germann)
Abb. 2 in Vereinsausflug 2013 des EVB in die Surselva (GR) (6.-7. Juli 2013)
Abb. 2. Kurz-Exkursion an den Vorderrhein unter der Leitung von Jürg Schmid (ganz rechts). (Foto Elisabeth Friedli)
Abb. 1 in Vereinsausflug 2013 des EVB in die Surselva (GR) (6.-7. Juli 2013)
Abb. 1. Teilnehmerinnen und Teilnehmer des Vereinsausflugs im Hotel Staziun in Rabius (Sumvitg, GR). (Foto Christoph Germann)
coSIF Data Product for February, April, July, and October 2021
<p>The monthly, 0.05-degree resolution coSIF predictions and corresponding root-mean-squared prediction errors (RMSPEs) for each of February, April, July, and October 2021 over North America. Each NetCDF file corresponds to one of the four months and contains two variables: "cosif_prediction" and "cosif_rmspe." For example, "coSIF_202102.nc4" corresponds to February 2021. All units are Watts per square meter, per steradian, and per micrometer (W \ m^2 \ sr \ <span class="math-tex">\(\mu\)</span>m).</p> <p>As described in Jacobson et. al. (2023), predictions and RMSPEs for July 2021 were produced using cokriging. For all other months, predictions and RMSPEs were produced using kriging.</p>
July 2023 Community Meeting
<p>This month's community meeting included:</p> <ul> <li>Notice about Community Listening Sessions</li> <li>Discussion on the registered extensions process</li> <li>Discussion about inviting new editors</li> </ul> <p>Full notes can be found at: https://github.com/OCFL/spec/wiki/2023.07.12-Community-Meeting</p>
LPL7 - July 2023
<p>Measurements of LPL7 (Archipielago Chinijo) in July 2023</p> <p>Archipielago Chinijo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL7">info</a></p>
LPL2 - July 2023
<p>Measurements of LPL2 (Caldera de Taburiente NP) in July 2023</p> <p>La Palma</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
Cetacean sightings, n T.t.ponticus 59 45 22 4 2 3 1 2 0 0 4 1 June July August September Fig. 4. Sightings per month for each species. in Vantage point surveys of cetaceans (Mammalia, Cetacea) and their interactions with marine birds
Cetacean sightings, n T.t.ponticus 59 45 22 4 2 3 1 2 0 0 4 1 June July August September Fig. 4. Sightings per month for each species.
AIS heatmap: North Sea and Dutch Inland Waterways for the months January, April, July, October in 2019
<p>This dataset contains information on vessel movements in the North Sea and Dutch Inland Waterways for the months January, April, July, and October in 2019. It provides a heatmap representation of vessel traffic density during these specific months, which can be useful for various maritime and environmental analyses.</p> <p>1. File Formats</p> <p>The dataset is provided in the following file formats:</p> <ul> <li>NetCDF : The primary data files are available in netcdf format. For each grid cell the variables sog (Speed Over Ground) and count (Number of AIS messages) are available</li> <li>GeoTIFF (Georeferenced Tagged Image File Format): Heatmap images are provided in GeoTIFF format, suitable for geographic visualization.</li> </ul> <p>The dataset is split into tiles. Each tile conforms to the <a href="https://wiki.openstreetmap.org/wiki/Tiles">OSM tiling</a> naming scheme.</p> <p>2. Variables </p> <p>The dataset includes the following key variables:</p> <ul> <li><strong>Speed Over Ground (SOG)</strong>: The average vessel's speed over the ground for all the messages.</li> <li><strong>Count</strong>: The number of AIS messages received in this location</li> </ul> <p>3. Data Collection Method </p> <p>The AIS data used in this dataset was collected from AIS transponders on vessels operating in the North Sea and Dutch Inland Waterways. These transponders transmit information such as vessel position, speed, and identification. The dataset aggregates this information to create heatmap images for analysis. We did this on all the messages. Some ships emit more messages than others. Ships emit messages at higher frequency when sailing than when stationary. </p> <p>4. Source of Original Data</p> <p>The original AIS data used to create this dataset was sourced from the AIS archive from Rijkswaterstaat. This dataset was analysed for the purpose of a <a href="https://ais-scrolly.netlify.app/">storymap</a>.</p> <p> </p> <p> </p>
Costa Rica mosquito community species occurrence and site environmental data, July - August 2017
Open the record for dataset details and reuse information.
UMBS: PROPHET Aerosol and Ozone Data, July 2014
This dataset corresponds to observations at PROPHET in July 2014, as described in Gunsch et al. 2018, Atmospheric Chemistry & Physics. Long-range aerosol transport affects locations hundreds of kilometers from the point of emission, leading to distant particle sources influencing rural environments that have few major local sources. Source apportionment was 5 conducted using real-time aerosol chemistry measurements made in July 2014 at the forested University of Michigan Biological Station near Pellston, Michigan, a site representative of the remote forested Great Lakes region. Size-resolved chemical composition of individual 0.5–2.0 µm particles was 10 measured using an aerosol time-of-flight mass spectrometer (ATOFMS), and non-refractory aerosol mass less than 1 µm (PM1) was measured with a high-resolution aerosol mass spectrometer (HR-AMS). The field site was influenced by air masses transporting Canadian wildfire emissions and ur15 ban pollution from Milwaukee and Chicago.
Proteolytic enzyme activity of organic and mineral soil core samples collected near Toolik Lake field station, Alaska, July 2001
The original focus of this study was an analysis of proteolytic enzyme activity of Alaskan arctic tundra soils, however initial results raised questions regarding the method (Watanabe and Hayano, 1995). Thus, the goals of the study changed to 1) an investigation of the method, and 2) a comparison of enzyme activities of two different soil layers from the arctic tundra. Methodological examination included the impact of toluene, used to prevent immobilization of the product, and blank correction of enzyme activity, and a search for a true 6-h linear rate of activity during a 48-hour incubation. We measured native and potential, using casein as an artificial substrate, activities as net amino acid production in mineral and organic soil layer samples. Varying toluene concentration had no clear effect on activity; omitting toluene resulted in zero native activity and reduced potential for the organic samples, but not for the mineral. Comparison of activities with and without blank correction indicated, particularly for potential activity of samples with low native rates, that correction was required for accuracy. Native and potential activity of the organic samples, and native of the mineral were linear for the first 6 h of incubation; linearity was observed during the 6 to 24 h incubation for potential activity of the mineral. Soil layer activity data indicated that native activity was higher in organic soils as compared with mineral. The organic layer potential activity was ten-fold greater than the native, suggesting substrate limitation; potential and native activities did not differ in the mineral layer, indicating substrate sufficiency. Casein addition changed the kinetic pattern for both layers from hyperbolic to sigmoidal for the mineral and linear for the organic, implying different enzyme pools or behavioral changes of existing pools. Native activity based on total soluble protein was higher for the mineral samples relative to the organic, reiterating substrate
Early July plant biomass in mesic acidic tussock tundra, 1993, Arctic LTER, Toolik Lake, Alaska.
Quadrats (20cm x 20cm squares) along a line (block) were collected for plant biomass in mesic acidic tussock tundra. Each quadrat was separated into individual species, new and old aboveground and belowground biomass. The harvest occurred in early July to coincide with a 15N plant and soil harvest.
Carbon in Permafrost Experimental Heating Research (CIPEHR) project: Foliar mineral element concentrations, stocks, and annual litterfall fluxes in July 2009 and 2017
In this study, we are asking the question: how permafrost degradation may influence foliar mineral element cycling with changing subarctic tundra vegeatation? We are answering this question by using a combination of field measurements (aboveground biomass, foliar biomass, foliar net primary productivity (NPP)) and laboratory measurements (mineral element foliar concentration: Al, Ca, Fe, K, Mn, P, S, Si, and Zn) to evaluate the mineral element foliar stocks and the mineral element foliar fluxes upon annual litterfall. We covered 5 vascular plant species from an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. Elemental analyses of plant species typical from the moist acidic tundra (in 2009 and 2017), combined with relative aboveground biomass and NPP measurements, brought key information on the influence of permafrost degradation and the vegetation composition on the litter elemental composition, and thereby the plant nutrient cycling across the subarctic tundra.
Eight Mile Lake Research Watershed, Thaw Gradient: Foliar mineral element concentrations, stocks and annual litterfall fluxes estimated for July 2017
In this study, we are asking the question: how permafrost degradation may influence foliar mineral element cycling with changing subarctic tundra vegeatation? We are answering this question by using a combination of field measurements (aboveground biomass, foliar biomass, foliar net primary productivity (NPP)) and laboratory measurements (mineral element foliar concentration: Al, Ca, Fe, K, Mn, P, S, Si, and Zn) to evaluate the mineral element foliar stocks and the mineral element foliar fluxes upon annual litterfall. We covered 7 vascular plant species and 2 groups of non-vascular species (mosses and lichens) from an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change (active layer, water table depth, and vegetation composition) due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. Elemental analyses of plant species typical from a moist acidic tundra, combined with aboveground biomass and NPP measurements, brought key information on the influence of the vegetation composition on the litter elemental composition, and thereby the plant nutrient cycling across the subarctic tundra.
Taiwan Coral Reef: Seawater pH, Temperature and Depth Time Series from Bottom-mounted Sensors on the Fringing Reef in Nanwan Bay, May-July 2012
Bottom-mounted instrumentation (SeaFET, Seabird conductivity/temperature sensor, Hobo water level data loggers) sampled for 7 weeks on the Hobihu fringing reef in Nanwan Bay, Taiwan. Sampling began in May 2012. The instruments were secured to anchored fencing stakes at 4 meters depth and 0.6 meters above the sandy bottom. The SeaFET recorded voltages from a thermistor and pH electrodes at a 10-minute sampling interval. Discrete seawater samples were collected using a Niskin bottle during the deployment; pH, salinity, and total alkalinity of this sample were measured to calculate seawater pH (total scale) from raw SeaFET data as well as other carbonate chemistry parameters. Adjacent to the SeaFET were a Seabird sensor and two HOBO® water level data loggers, synchronized with the SeaFET to simultaneously record conductivity, temperature and depth.
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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.