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Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – Portugal

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 2020 AMR data collection: Instituto Nacional de Investigação Agrária e Veterinária

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – Hungary

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – Norway

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – Slovakia

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – Ireland

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – The United Kingdom

Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques

This dataset consists of ~350k JPEG images of streetlight columns installed on a public road infrastructure located in the city of Bristol, UK. Each streetlight is photographed by a Raspberry Pi Camera Module v1, installed on each lamppost, providing a unique camera placement, photographic angle, and distance from the streetlight. Several streetlights are partially obstructed by vegetation or are outside the Field of View (FoV) of the Raspberry Pi camera. Finally, the cameras facing the sky are susceptible to weather conditions (e.g., rain, snow, direct sunlight, etc.) that can partially or entirely alter the quality of the images taken. The above provides a unique and diverse dataset of images that can be used for training tools and machine learning models for inspection, monitoring and maintenance use-cases within Smart Cities applications.

opencc-by-4.0Nov 2021View details →

SiEUGreen_Dataset_for_Monitoring_the_contribution_of_urban_agriculture_to_urban_sustainability:_an_indicator-based_framework

The data was collected for scientific publication: Tapia, C., Randall, L., Wang, S.; Borges, L. A. (2021): Monitoring the contribution of urban agriculture to urban sustainability: an indicator-based framework. Sustainable Cities and Society. In press, <a href="https://doi.org/10.1016/j.scs.2021.103130">https://doi.org/10.1016/j.scs.2021.103130</a> This dataset includes the data from the survey in Brabrand Fallaesgartneriet, which is the study case reported in the article.

opencc-by-4.0Apr 2022View details →

Monitoring creep along the Hayward Fault using structure-from-motion photogrammetry of offset curbs"

Point clouds for each observed offset curbs along the Hayward Fault in Fremont, California between 2016 to 2018.

opencc-by-4.0Dec 2021View details →

T a b l e 1 in Citizen Science Assisted Monitoring Provides New Data Concerning the Distribution of the Bulgarian Bent-toed Gecko, Mediodactylus danilewskii (Gekkonidae, Squamata), in North-East Bulgaria

T a b l e 1. Coordinates of the newly recorded specimens of M. danilewskii in North East Bulgaria

opencc-by-4.0Dec 2021View details →

Fig. 2 in Citizen Science Assisted Monitoring Provides New Data Concerning the Distribution of the Bulgarian Bent-toed Gecko, Mediodactylus danilewskii (Gekkonidae, Squamata), in North-East Bulgaria

Fig. 2. Schematic map of the confirmed and new sites of

opencc-by-4.0Jul 2021View details →

Bridge Cracks Monitoring: Detection, Measurement, and Comparison using Augmented Reality

Crack occurrence and propagation are among critical factors that affect the performance and lifespan of civil infrastructures such as bridges. Consequently, numerous crack detection and measurement methods have been proposed and developed in the recent decades in the areas of Structural Health Monitoring and non-destructive testing. Many novel technologies have emerged with the potential to overcome the limitations of the presented techniques of crack detection and characterization. Crack detection and characterization method used in this research lies in supplementing human visual inspection capabilities in a systematic manner through an appropriate level of automation. The Augmented Reality (AR) tool developed in this project allows a user to perform tasks in a real-world environment while visually receiving supplementary 3D computer-generated information to support the tasks. More specifically, we developed a crack detection/characterization tool in this research and deployed it in Microsoft HoloLens smart glasses. This AR tool provides the user with automatic data collection capability through AR headset camera and is a means of hands-free data sharing for inspectors while conducting their normal inspection. We conducted several laboratory and field experiments by which we evaluated the effectiveness of the developed crack detection and measurement system. The result confirm that the AR tool devised in this project has the potential to help the inspection process in terms of time, comfort and accuracy.

opencc-zeroApr 2022View details →

Profiling, monitoring and conserving caterpillar fungus in the Himalayan region using anchored hybrid enrichment markers

The collection of caterpillar fungus accounts for 50-70% of the household income of thousands of Himalayan communities and has an estimated market value of $5-11 billion across Asia. However, Himalayan collectors are at multiple economic disadvantages compared with collectors on the Tibetan plateau because their product is not legally recognized. Using a customized hybrid-enrichment probe set and market-grade caterpillar fungus (with samples up to 30 years old) from 94 production zones across Asia, we uncovered clear geography-based signatures of historical dispersal and significant isolation-by-distance among caterpillar fungus hosts. This high-throughput approach can readily distinguish samples from major production zones with definitive geographical resolution, especially for samples from the Himalayan region that form monophyletic clades in our analysis. Based on these results, we propose a two-step procedure to help local communities authenticate their produce and improve this multi-national trade route without creating opportunities for illegal exports and other forms of economic exploitation. We argue that policy makers and conservation practitioners must encourage the fair trade of caterpillar fungus in addition to sustainable harvesting to support a transboundary conservation effort that is much needed for this natural commodity in the Himalayan region.

opencc-by-4.0May 2022View details →

Dataset for the paper "Real-Time in Situ Monitoring of CO2 Electroreduction in the Liquid and Gas Phases by Coupled Mass Spectrometry and Localized Electrochemistry" DOI: 10.1021/acscatal.2c00609

The data in the attached spreadsheet was used to produce the figures in the paper Authors:Guohui Zhang, Youxin Cui, Anthony Kucernak Title:Real-Time in Situ Monitoring of CO2 Electroreduction in the Liquid and Gas Phases by Coupled Mass Spectrometry and Localized Electrochemistry Journal:ACS Catalysis DOI:10.1021/acscatal.2c00609 Please cite the above reference if you wish to use this data DOI of data:10.5281/zenodo.6526651

opencc-by-4.0May 2022View details →

Use of pheromone traps as a monitoring tool for the citrus mealybug (Planococcus citri) on cocoa farms

This study developed and optimised a method for the monitoring of populations of P. citri using pheromone-baited traps on cocoa farms and established seasonal activity of P. citri in Cross River State, Nigeria. The effect of time of day, pheromone trap design (Delta and sticky trap), colour (red, blue, yellow, and white) and height placement (0.3. 0.9 and 1.8m) on the capture of adult male P. citri and non-target insects was studied. Planococcus citri was observed to be present year-round with a peak in April, which coincided with the highest air temperatures. By checking traps for diel activity, it was revealed that male flight activity was highest between 1800-0600. Trap design and colour had no significant effect on the number of male P. citri captured, although a smaller number of non-target insects were recorded in Delta traps. Trap height placement had a significant effect on the number of P. citri, and non-target species caught, with the highest number of captures obtained at the lowest trap height (0.3m) and capture rate decreasing as trap height increased. There was a significant positive correlation between the number of trapped male P. citri and air temperature. The results suggest that P. citri is present all year round in the field, that Delta traps are a more suitable trap type, and that 0.3m is an effective height for the monitoring of P. citri on cocoa farms. These findings could be used to improve mealybug monitoring on cocoa farms and could be utilised for the development of an integrated pest management programme.

opencc-zeroMay 2022View details →

Crowd-sourced SfM: Best practices for high resolution monitoring of coastal cliffs and bluffs

Digital oblique photos of an approximately 2.0 km alongshore reach of seaward-facing coastal bluff faces on the Strait of Juan de Fuca, Washington State, were collected at least quarterly between 2016 and 2022. In total over 3900 photos were collected over 38 separate surveys. The photos were collected to support digital surface reconstructions using Structure-from-Motion (SfM) photogrammetry, and specifically to assess the quality of surfaces generated with photos collected using relatively simple techniques that could be accessible to community science programs. A secondary goal was to use the photos, and the digital surfaces generated with them, to evaluate patterns and rates of erosion on the bluff face.

opencc-zeroJun 2022View details →

Data from: Passive acoustic monitoring provides reliable under-estimates of population size and longevity in wild Savannah Sparrows

Many breeding birds produce conspicuous sounds, providing tremendous opportunities to study free-living birds through acoustic recordings. Traditional methods for studying population size and demographic features depend on labour-intensive field research. Passive acoustic monitoring provides an alternative method for quantifying population size and demographic parameters, but this approach requires careful validation. To determine the accuracy of passive acoustic monitoring for estimating population size and demographic parameters, we used autonomous recorders to sample an island-living population of Savannah Sparrows (Passerculus sandwichensis) over a six-year period. Using the individually distinctive songs of males, we estimated male population size as the number of unique songs detected in the recordings. We analyzed songs across six years to estimate birth year, death year, and longevity. We then compared the estimates to field data in a blind analysis. Estimates of male population size through passive acoustic monitoring were, on average, 72% of the true male population size, with higher accuracy in lower-density years. Estimates of demographic rates were lower than true values by 29% for birth year, 23% for death year, and 29% for longevity. This is the first investigation to estimate longevity with passive acoustic monitoring, and adds to a growing number of studies that have used passive acoustic monitoring to estimate population size. Although passive acoustic monitoring under-estimated true population parametersfeatures, likely due to the high similarity among many male songs, our findings suggest that autonomous recorders can provide reliable estimates of population size and demographic characteristicslongevity in a wild songbird.

opencc-zeroJun 2022View details →

Use of road underpasses by mammals and a monitor lizard in eastern Australia and consideration of the prey-trap hypothesis

Road networks continue to expand globally with predictable effects on ecological systems. Research into the effectiveness of road underpasses and overpasses for wildlife has been concentrated in North America and Europe. In Australia, most studies of underpasses have been of relatively short duration and without reference sites to give context to the measured rates of use. We studied 5–7 road underpasses at two locations in eastern Australia over 2–3 years, comparing camera trap detections of animals in underpasses with those at nearby forest sites. Three species of large macropod (wallabies and kangaroos) were frequently detected in the underpasses, with some underpasses traversed 1–4 times per week, and in many cases exceeded detections in the forest. The lace monitor (Varanus various) was detected in all underpasses, often once per week during spring and summer, and infrequently in the forest. At each location a different small macropod species, including one regionally threatened, showed a higher probability of detection in one underpass compared to several of the forest sites. The vulnerable koala (Phascolartos cinereus) was detected infrequently in underpasses and in the adjoining forest. The short-beaked echidna (Tachyglossus aculeatus) had a high probability of detection in a single underpass. The 'prey-trap hypothesis' postulates that predators will exhibit increased activity at underpasses as a consequence of prey being funnelled. We found the red fox (Vulpes vulpes) had high activity in some underpasses. However, its activity coincided less than expected with the activity of the mammals most at risk to it. Our results provide no consistent support for the 'prey-trap hypothesis'. Instead, our study confirms the generic value of underpasses for a range of medium-large mammals as well as one large reptile. Habitat adjoining underpasses exerts a strong influence on their use and requires greater consideration to maximise underpass use.

opencc-by-4.0Jun 2022View details →

Stigma, Activity Monitoring, and Pain (StAMP) study

Original and cleaned data, analysis scripts (R scripts), and script outputs for the StAMP study.