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Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Hungary
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_HU_20200204: >> National Food Chain Safety Office</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Luxembourg
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_LU_20200204: >> Administration des services vtrinaires</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Malta
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_MT_20200204: >> Ministry for Sustainable Development, the Environment and Climate Change</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Croatia
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_HR_20200204: >> Croatian Veterinary Institute</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Czechia
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_CZ_20200204: >> State Veterinary Administration</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Lithuania
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_LT_20200204: >> National Food and Veterinary Risk Assessment Institute</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Denmark
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_DK_20200204: >> National Food Institute - The Technical University of Denmark</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Belgium
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_BE_20200204: >> SCIENSANO</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Italy
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_IT_20200204: >> Istituto Zooprofilattico Sperimentale delle Regioni Lazio e Toscana</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Germany
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_DE_20200204: >> Federal Institute for Risk Assessment</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Finland
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_FI_20200204: >> Finnish Food Authority</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Norway
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_NO_20200204: >> Norwegian Veterinary Institute</p>
FIGURE 2 in Body Mass, Bone "Strength Indicator," and Cursorial Potential of Tyrannosaurus rex
FIGURE 2. CT-scan image of the femoral midshaft of MOR 555, showing crushing of the bone, and some of the traverses (white lines) across the femoral cortex used to estimate cortical thickness.
FIGURE 1. Matt B in Body Mass, Bone "Strength Indicator," and Cursorial Potential of Tyrannosaurus rex
FIGURE 1. Matt B. Smith's model restoration of Tyrannosaurus rex, based on MOR 555, as seen in side (A), dorsal (B), and anterior (C) views. Photographs by Bruce Selyem; used by permission of the Museum of the Rockies (photograph numbers PM:39-5, 39-7, 39-10).
FIGURE 4 in Body Mass, Bone "Strength Indicator," and Cursorial Potential of Tyrannosaurus rex
FIGURE 4. Simple model of the vertical force acting on an animal as it hits the ground at the end of a fall. The model can be applied either to the torso of the animal or to its head. The parameters of the model are described in the text.
Price evolution of crop products in Spain and its influence in the general price indices
<p>Dataset containing the monthly prices of different crop products in Spain's wholesale markets, as well as aggregated prices and price indexes (general and agriculture-specific) with lower frequency (quarterly and yearly). Some of the relevant attributes are month and year, product name and price. The time range includes 2017-2019 period, however, not all the fields are populated.</p>
Development and Implementation of Sustainable Transportation Resilience Indicators
<p>Communities are complex systems subject to a variety of hazards that can result in significant disruption to critical functions. Community resilience assessment is gaining popularity as a means to help communities better prepare for, respond to, and recover from disruption. Sustainable resilience, a recently developed concept, requires communities to assess system-wide capability to maintain desired performance levels, while simultaneously evaluating impacts to resilience due to changes in hazards and vulnerability over extended periods of time.</p> <p>In an earlier work, the authors developed a classification scheme to aid in identification, selection and application of community sustainable resilience indicators that can be tailored to a community’s needs in operationalizing the assessment process. These indicators were characterized according to whether they aligned with social, economic or environmental systems that are necessary for a community to achieve a sustainable resilience domain of survival, well-being, or full preparedness.</p> <p>Of the critical infrastructure systems that support these systems and domains, transportation is arguably the most important. This is based on the premise that transportation is a means to an end, providing the mobility that enables a community to establish and maintain a social, economic and environmental fabric. Whether it involves an educational, medical, recreational, religious, work or other purpose, absent a safe and reliable transportation system, none of these activities can be satisfactorily pursued. Moreover, in times of crisis, transportation serves as a vital artery for enabling access to and egress from impacted areas.</p> <p>The objective of this project was to establish and demonstrate a method for evaluating a community’s transportation resilience, such that if deficiencies exist, attention can be focused on mitigating those concerns. This approach was designed around the scenario of a river valley community exposed to the threat of a significant flood event, with the expectation that the methodology has the potential to be extended to assess community resilience to other natural and manmade hazards.</p>
Long-term vegetation changes in Nardus grasslands indicate eutrophication, recovery from acidification, and management change as the main drivers
<p>Abstract</p> <p>Questions</p> <p>Which trends and patterns of community change occurred in <em>Nardus</em> grasslands over recent decades in parts of the Continental biogeographic region of Germany? Are patterns and trends consistent across two study regions? Do impacts of environmental changes on <em>Nardus</em> grasslands in Central Europe correspond to those identified in the European Atlantic biogeographic region?</p> <p>Location</p> <p>East Hesse Highlands, Germany</p> <p>Methods</p> <p>In 2012-2015, we re-surveyed quasi-permanent plots that had been initially surveyed between 1971 and 1987, and re-measured soil parameters. We tested for differences in species frequency and cover, mean Ellenberg indicator values, species richness, and soil variables. Nitrogen- and sulphur-deposition data were analysed to evaluate possible effects of atmospheric pollutants. We used regression- and redundancy analyses to identify environmental drivers responsible for changes in species composition.</p> <p>Results</p> <p>Across regions, we found significant increases in soil pH, Ellenberg R and N indicator values, plant-nutrient indicators, forbs, species of agricultural grasslands and of fallows. By contrast, the C:N ratio<em>, Nardus</em> grassland specialists, low-nutrient indicators, and graminoids declined. Changes in species composition were related to changes in pH and management. There was a strong decrease in sulphur and a moderate increase in nitrogen deposition, whose local scale pattern did not correlate with changes in soil parameters. However, there was an effect of local NH<sub>y</sub> changes on species composition.</p> <p>Conclusion</p> <p>The findings indicate significant overall eutrophication, a trend towards less acidic conditions and insufficient management, which are widely consistent across our study regions and correspond to recent reports of vegetation changes and recovery from acidification in the Atlantic biogeographic region. We assume the reduced sulphur deposition during recent decades to be a major driver of these changes, combined with increased nitrogen deposition and reduced management intensity. This suggests a large-scale validity of processes that influenced changes in <em>Nardus</em> grasslands of Western and Central Europe.</p>
Data repository from Boudewijn van Lieshout' thesis A comparison between Normalized Difference Vegetation Indices calculated from Sentinel 2A satellite data and high-resolution UAV imagery in Tanzania
<p>Monitoring vegetation is imperative for policy design and efficiency measurements. Frequent data collection, easy and inexpensive accessibility of images and the possibility of large area analysis, makes it still valuable to use satellite imagery. This study aims to examine how a Normalized Difference Vegetation Index (NDVI) measured with Sentinel-2A satellite data relates to an NDVI from Unmanned Aerial Vehicles (UAV henceforth) in study areas Chamwino Mlimwa and Chemba Waida, Tanzania.</p>
Data from: Effects of 9,10-phenanthrenequione on antioxidant indices and metabolite profiles in Takifugu obscurus plasma
<p class="MDPI31text"><span><span>Derived from polycyclic aromatic hydrocarbons (PAHs), oxygenated-PAHs (oxy-PAHs) may pose hazards to </span></span><span><span>aquatic</span></span><span><span> organisms, which remains largely unknown</span></span>. <i><span><span>Takifugu obscurus</span></span></i><span><span> is an important anadromous fish species </span></span><span><span>of </span></span><span><span>high economic and ecological values. </span></span><span><span>In </span></span><span><span>t</span></span><span><span>he present study,</span></span><span><span> <i>T. obscurus</i> </span></span><span><span>was</span></span><span><span> acutely exposed to</span></span> <span><span>44.29 </span></span><span><span>μg/L</span></span><span><span> 9,10-phenanthrenequione (9,10-PQ) for 96 hours. </span></span><span><span>Change</span></span><span><span>s of antioxidant indices and metabolite profiles in plasma were compared between 9,10-PQ treatment and the control. The results showed that 9,10-PQ treatment significantly increased MDA content during 6 hours to 96 hours, increased SOD and CAT activities at 6 hours, but decreased them at 96 hours. These results indicated that 9,10-PQ induced oxidative stress to fish. </span></span><span><span>Ultra-performance liquid chromatography-mass spectrometry (UPLC-MS)</span></span><span><span> analysis revealed that four</span></span><span><span> metabolic pathways were influenced in response </span></span><span><span>to treatment with 9,10-PQ, including </span></span><span><span>glycerophospholipid metabolism</span></span><span><span>,</span></span><span><span> phenylalanine, tyrosine and tryptophan biosynthesis</span></span><span><span>,</span></span><span><span> purine metabolism and sulfur metabolism. These pathways </span></span><span>are </span><span>associated with </span><span>antioxidant mechanisms, biosynthesis of </span><span>neurotransmitters and innate immune functions. Thus, the as-obtained results confirmed that 9,10-PQ induced</span> oxidative stress and raised concerns of neurotoxicity and immunotoxicity to fish. <span>Overall, the present study posed a high environmental risk of oxy-PAHs to aquatic ecosystems. </span><span><span>Derived from polycyclic aromatic hydrocarbons (PAHs), oxygenated-PAHs (oxy-PAHs) may pose hazards to </span></span><span><span>aquatic</span></span><span><span> organisms, which remains largely unknown</span></span>. <i><span><span>Takifugu obscurus</span></span></i><span><span> is an important anadromous fish species </span></span><span><span>of </span></span><span><span>high economic and ecological values. </span></span><span><span>In </span></span><span><span>t</span></span><span><span>he present study,</span></span><span><span> <i>T. obscurus</i> </span></span><span><span>was</span></span><span><span> acutely exposed to</span></span> <span><span>44.29 </span></span><span><span>μg/L</span></span><span><span> 9,10-phenanthrenequione (9,10-PQ) for 96 hours. </span></span><span><span>Change</span></span><span><span>s of antioxidant indices and metabolite profiles in plasma were compared between 9,10-PQ treatment and the control. The results showed that 9,10-PQ treatment significantly increased MDA content during 6 hours to 96 hours, increased SOD and CAT activities at 6 hours, but decreased them at 96 hours. These results indicated that 9,10-PQ induced oxidative stress to fish. </span></span><span><span>Ultra-performance liquid chromatography-mass spectrometry (UPLC-MS)</span></span><span><span> analysis revealed that four</span></span><span><span> metabolic pathways were influenced in response </span></span><span><span>to treatment with 9,10-PQ, including </span></span><span><span>glycerophospholipid metabolism</span></span><span><span>,</span></span><span><span> phenylalanine, tyrosine and tryptophan biosynthesis</span></span><span><span>,</span></span><span><span> purine metabolism and sulfur metabolism. These pathways </span></span><span>are </span><span>associated with </span><span>antioxidant mechanisms, biosynthesis of </span><span>neurotransmitters and innate immune functions. Thus, the as-obtained results confirmed that 9,10-PQ induced</span> oxidative stress and raised concerns of neurotoxicity and immunotoxicity to fish. <span>Overall, the present study posed a high environmental risk of oxy-PAHs to aquatic ecosystems. </span></p>
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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.