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8,460 results for “MONITORING”
Data archive for the peer-reviewed journal article "Detailed characterization of the CAPS single scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method"
<p>Data archive accompanying the peer-reviewed journal article "Detailed characterization of the CAPS single scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method". In 2020 this article was accepted for publication in the journal <em>Atmospheric Measurement Techniques</em>. Data are uploaded in the form of ascii text files, Igor Pro experiment files (.pxp), and Jupyter notebook files. In addition, a Jupyter notebook file is included containing an implementation of the error model used in the paper.</p>
Development of Multi-component Non-Sex Pheromone Blends to Monitor both Sexes of Cydia pomonella (Lepidoptera: Tortricidae)
<p>Raw data of codling moth (Cydia pomonella L.) captures by using blends of Volatile Organic Compounds in ternary and quaternary combinations (3- and 4-compoment lures) in USA during 2019.</p>
Data from: Long-term monitoring of seed dispersal by Asian elephants in a Sundaland rainforest
<p><span><span><span><span><span><span><span><span><span><span><span>Asian elephants (<i>Elephas maximus</i>) have inhabited almost all forests in tropical Asia until recently, yet little is known about their role in ecological processes, particularly in the Sundaic forests of Southeast Asia. These forests are peculiar in their phenology, with supra-annual and highly irregular episodes of mast fruiting. Here we present a long-term (six-year) monitoring of the seeds dispersed by elephants in dipterocarp forests of northern Peninsular Malaysia. We conducted monthly dung surveys at two mineral licks (11.3 km apart) frequently visited by elephants. Additionally, we recorded haphazard observations of seeds and seedlings in elephant dung at other locations. We recorded a minimum of 48 morphospecies from at least 25 plant families dispersed by elephants. Elephant seed dispersal was very heterogenous in space, with only 30.3 % of the morphospecies dispersed at both sites (Jaccard dissimilarity index = 0.48). Temporally, elephants dispersed seeds in sporadic pulses of abundance and diversity, without any apparent seasonality (seeds appeared in 19.1 % of 1,284 dung piles and 57.1 % of the 63 months in which we found dung) and with long periods without any seed being dispersed. Nearly half (48 %) of the plants dispersed by elephants belong to a megafaunal dispersal syndrome. Our long-term approach allowed us to unravel an important aspect of Asian elephants' role and effectiveness in the seed dispersal cycle. Sundaland's forests are undergoing a rapid loss of their previously common megaherbivores (rhinos and elephants), with profound and long-term consequences for ecosystem functioning.</span></span></span></span></span></span></span></span></span></span></span></p>
Photoinduced metallization of the ZnO surface monitored with time- and angle-resolved photoelectron spectroscopy
<p>Pump-probe angle-resolved photoemission spectroscopy data of ZnO(10-10) measured using a hemispheric energy analyzer and ultrashort laser pulses from a table-top laser source. Different probe photon energies are used, as indicated in the file names. The pump photon energy for both data sets is 3.43 eV, with a laser fluence of 27 microJ/cm<sup>2</sup>.</p>
Questionnaire "Butterfly Monitoring Germany"
<p>Results of a questionnaire sent out to participants of the Citizen Science Project "Butterfly Monitoring Germany"</p>
Data from: Using terrestrial haematophagous leeches to enhance tropical biodiversity monitoring programmes in Bangladesh
1. Measuring mammal biodiversity in tropical rainforests is challenging, and methods which reduce effort while maximizing success are crucial for long-term monitoring programmes. Commonly used methods to assess mammal biodiversity may require substantial sampling effort to be effective. Genetic methods are a new and important sampling tool on the horizon, but obtaining sufficient DNA samples can be a challenge. 2. We evaluated the efficacy of using parasitic leeches Haemadipsa spp., as compared to camera trapping, to sample biodiversity. We collected 200 leeches from four forest patches in northeast Bangladesh, and identified recent vertebrate hosts using Sanger sequencing of the 16S rRNA gene extracted from each individual leech's blood meals. We then compared this data to species data from camera trapping conducted in the same forest patches. 3. Overall, 41.9% of sequenced leeches contained amplifiable non-human mammal DNA. Four days of collecting leeches led to the identification of 12 species, compared to 26 species identified in 1334 camera trap nights. 4. Synthesis and applications. After assessing the cost, effort, and power of each technique, there are pros and cons to both camera trapping and leech blood meal analysis. Camera trapping and leech collection appear to be complementary approaches. When used together, they may provide a more complete monitoring tool for mammal biodiversity in tropical rainforests. Managers should consider adding leech collection to their biodiversity monitoring toolkit, as improved information will allow managers to create more effective conservation programmes. R scripts are available upon request.
Data for: Elastic Application-Level Monitoring for Large Software Landscapes in the Cloud
<p>Application-level monitoring provides valuable, detailed insights into running applications. However, many approaches often only employ a single analysis application. This analysis application may become a performance bottleneck when monitoring several programs resulting in reduced monitoring quality or violated service level agreements of the monitored applications.</p> <p>We present an approach for elastic, distributed application-level monitoring for large software landscapes consisting of several hundreds of applications by utilizing cloud computing. Our approach dynamically inserts and removes worker levels to circumvent overloading the analysis master application without interrupting or pausing the actual live analysis of the monitored data. To evaluate our approach, we conduct an experiment in which we generate load - following a real workload pattern - on web applications in a 24 hour experiment.</p> <p>In our experiment, 160 monitored JPetStore instances generate roughly 20 million analyzed method calls per second in the peak. Furthermore, two worker levels are dynamically started and removed in line with the imposed workload on the monitored applications. The experiment shows that our monitoring approach is capable of live analyzing several millions of monitored method calls per second without overloading the analysis master application.</p> <p>This package provides our supplementary data.</p>
Dataset from 'Size Distribution of Sperm Whales Acoustically Identified During Long Term Deep-Sea Monitoring in the Ionian Sea'
<p>This dataset is from the study:</p> <p>Caruso Francesco, Virginia Sciacca, Giorgio Bellia, Emilio De Domenico, Giuseppina Larosa, Elena Papale, Carmelo Pellegrino, Sara Pulvirenti, Giorgio Riccobene, Francesco Simeone, Fabrizio Speziale, Salvatore Viola and Gianni Pavan. “Size Distribution of Sperm Whales Acoustically Identified During Long Term Deep-Sea Monitoring in the Ionian Sea.”</p> <p>The archive named NEMO-OvDE Dataset.zip contains the results of an automatic analysis developed and applied to the data acquired by the Ocean noise Detection Experiment. In detail, a subsample of the large dataset was processed to assess the size of the recorded sperm whales, by measuring the structure of their acoustic signals. The dataset consists in several plots generated by the algorithm described in the cited research article. The files are in PNG format. These data were used to study the size distribution of the sperm whale recorded during the OvDE Passive Acoustic Monitoring.</p> <p>For further information: riccobene@lns.infn.it (Principal Investigator of the Ocean noise Detection Experiment)</p>
Laser welding multispectral coaxial monitoring
<p>This is the first dataset containing thermopgraphy data of some single laser welding trials as they were observed by coaxial integrated NIR and S/MWIR cameras and different IR filters.</p>
Comparing distribution of harbour porpoises (Phocoena phocoena) derived from satellite telemetry and passive acoustic monitoring
<p>Data used for publication in Plos One. Two excel files. The satellite_filtered_data is the filtered satellite positions used for MaxEnt modelling in R. The CPOD_data_PPH is the raw C-POD data expressed here as porpoises positive hours (PPH) and can easily be converted to porpoise positive days (PPD).</p>
Results from monitoring changes in NDVI time series over southwest Ethiopia based on 11 years of Landsat 7 imagery and BFAST
<p>(see README.md)</p>
Data supplementing the article "Assessing ecological status with diatoms DNA metabarcoding : scaling-up on a WFD monitoring network (Mayotte island, France)" V. Vasselon, F. Rimet, K. Tapolczai, A. Bouchez submitted to Ecological Indicators journal
<p>These data supplement the article"Assessing ecological status with DNA metabarcoding or microscopy? Comparison using benthic diatoms in tropical rivers" V. Vasselon, F. Rimet, K. Tapolczai, A. Bouchez submitted to Ecological Indicators journal.</p> <p>The directory contains the following files:</p> <p><strong>80 PGM sequencing libraries (raw data, fastq files).rar </strong>- contains the 80 fastq files provided by the sequencing platform with demultiplexed DNA reads (raw data prior any bioinformatics treatments).</p> <p><strong>80 fastq files information.xlsx</strong> - contains the information relative to the 80 samples including: the ID used in Mothur analyses (corresponding to the name of the fastq files), the sample name, the sampling site code, the name of the river, the monitoring network to which rivers belong, the year of sampling and the GPS coordinates of sampling sites.</p> <p><strong>OTU (95 percent of similarity) list of 80 Mayotte samples.xlsx</strong> - contains the final OTU list obtained after applying all the bioinformatics treatments (trimming, clustering,...): OTUs created at 95% of similarity, the number of DNA reads per sample was normalized at 5710 reads (the smallest values obtained in one sample). A DNA representative sequence and the taxonomic assignment determined using Mothur (using classify.otu command) are also provided for each OTU.</p>
Whole-cell Escherichia coli lactate biosensor for monitoring mammalian cell cultures during biopharmaceutical production-- dataset
<p>Raw data for Goers et al, (2017), Biotech Bioeng. doi:10.1002/bit.26254.</p> <p>Each graph including the supplementary figures is a separate tab.</p>
The angular gyrus is a supramodal comparator area in action-outcome monitoring
<p>Dataset related to the following publication:</p> <p>van Kemenade, B.M., Arikan, B.E., Kircher, T., & Straube, B. (2017). The angular gyrus is a supramodal comparator area in action-outcome monitoring. <em>Brain Structure & Function</em></p>
Data providers package for reporting monitoring results for veterinary medicinal product residues (2017 test phase)
<p>This data providers package provides the data collection configuration and supporting materials for reporting veterinary medicinal product residues (VMPR) results according to Council Directive 96/23/EC of 29 April 1996 on measures to monitor certain substances and residues thereof in live animals and animal products and repealing Directives 85/358/EEC and 86/469/EEC and Decisions 89/187/EEC and 91/664/EEC. These are to be used for the 2017 data reporting test phase.</p> <p>The package includes;</p> <p>Advice on the values to be reported for the mandatory fields specified for this data collection</p> <p>The Standard Sample Description Version 2 XML schema definition for VMPR reporting</p> <p>The STX transformation file which automatically assigns sampEventId and sampAnId when this information is not provided</p> <p>The general and VMPR specific business rules applied for the automatic validation of the submitted datasets</p> <p>The VMPR specific terminologies to be used for reporting analytical methods and the residues included in the scope of the analytical methods</p> <p>An excel tool which can support users in creating the required XML file for submission where automated data collation tools are not available and a manual for the tool</p> <p> </p>
Austrian Science Fund (FWF) Open Access Compliance Monitoring 2016
<p><strong>I. Executive summary</strong></p> <p>The Austrian Science Fund (FWF), which is Austria's main funding organisation for basic research, encourages and helps all project leaders and project staff members to make their peer-reviewed research results freely available on the Internet. Since 1 January 2016, open access has been mandatory for all peer-reviewed publications listed in final reports on FWF-funded projects. Any exceptions must be clearly indicated and justified. For projects that started after 1 January 2015, open access has been compulsory for all peer-reviewed publications.</p> <p>All principal investigators in FWF-funded projects are obliged to submit a final report within three months of completing their projects.</p> <p>The publications and other data mentioned in those reports are archived and analysed by the FWF. This report examines the state of compliance with open access requirements on the basis of final project reports submitted in the year 2016.</p> <p>Main findings:</p> <ul> <li>A total of 6,994 publications were listed in the final project reports submitted in 2016.</li> <li>Of those publications, 5,146 were conclusively identified as peer-reviewed.</li> <li>Regarding compliance with the FWF's Open Access Policy, the report shows that 92% of the peer-reviewed publications that arose from FWF projects in 2016 are openly accessible (2015: 83%).</li> <li>The most frequently chosen option is hybrid open access (40%). Since last year's report, the use of green open access has increased by 3%, other open access by 5%, and gold open access by 2%.</li> <li>The majority of peer-reviewed publications submitted are journal articles, 93% of which are openly accessible.</li> <li>The lowest rate of compliance with the FWF's Open Access Policy can be found in editions, contributions to edited volumes and monographs (58%).</li> <li>Although open access is not compulsory, 48% of non peer-reviewed publications are freely available through the internet.</li> <li>The absolute number of publications listed in final reports in 2016 includes 321 publications that are mentioned several times in different projects; however, those repetitions do not ultimately affect the relative share of open access publications (92%).</li> </ul> <p><strong>II. Bias</strong></p> <p>All publications were entered in the FWF’s database manually and with the utmost care when the final project reports were received. Nevertheless, it is not possible to rule out minor errors entirely. Moreover, some systematic problems need to be solved in the future; the FWF is currently preparing to implement a research information system in which FWF-funded researchers will be able to enter and update their research data on an ongoing basis.</p> <ul> <li>Due to the amount of data involved, it was not possible to check the current open access status of all publications twice. The last check was performed in January 2017.</li> <li>In some cases, the embargo period may have expired after submission, and publications labelled "Other open access" in the FWF’s database may now be accessible through green open access.</li> <li>Whenever the status "peer-reviewed" could not be clearly identified according to FWF guidelines, the publications were classified as non peer-reviewed.</li> </ul>
Supplementary Material for the Paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development"
<p>Contains the supplementary material for the paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development" submitted to CSCW'18. All contents are explained in the file README.txt.</p> <p>Abstract:<br> One way to improve the productivity of knowledge workers is to increase their self-awareness about productivity at work through self-monitoring. Yet, little is known about expectations of, the experience with and the impact of self-monitoring in the workplace. To address this gap, we studied software developers, as one community of knowledge workers. We used an iterative, feedback-driven development approach (N=20) and a survey (N=413) to infer design elements for workplace self-monitoring, which we then implemented as a technology probe called WorkAnalytics. We field-tested these design elements during a three-week study with software development professionals (N=43). Based on the results of the field study, we present design recommendations for self-monitoring in the workplace, such as using experience sampling to increase the awareness about work and to create richer insights, the need for a large variety of different metrics to retrospect about work, and that actionable insights, enriched with benchmarking data from co-workers, are likely needed to foster productive behavior change at work.</p>
floodX Preprocessed Monitoring Data
<p><strong>Warning</strong></p> <p><strong>Since the first publication of this data, the flow velocity data (data sources "c3_v_radar_hach" and "c3_v_radar_nivus") have been found to contain systematic errors of up to 50%. The absolute velocity measurement values must be disregarded.<br> ----------------------------------------------------------------------------------------------------------------------</strong></p> <p>This package contains a preprocessed subset of the flooding experiments for which the data quality is appropriate for <strong>urban flood monitoring research</strong>. The package includes text-based data only – videos and images of flooding can be found in the “floodX Flooding Videos” and “floodX Flooding Images” packages, respectively.</p> <p> </p> <p>This package belongs to a collection of packages containing data collected from the floodX experiments.</p> <p> - floodX Raw Data, Metadata, and Preprocessing Code (doi: 10.5281/zenodo.830505)<br> - floodX Preprocessed Monitoring Data (doi: 10.5281/zenodo.830511)<br> - floodX Preprocessed Calibration Data (doi: 10.5281/zenodo.830513)<br> - floodX Flooding Videos (doi: 10.5281/zenodo.830451)<br> - floodX Flooding Images (doi: 10.5281/zenodo.830501)<br> - floodX Data Logger Images (doi: 10.5281/zenodo.830507)<br> - floodX Data Logger Videos (doi: 10.5281/zenodo.830504)<br> - floodX Documentation (doi: 10.5281/zenodo.830506)</p>
Monitoring Continuous Integration Practices in Industry: A Case Study
<p><span>In our previous studies </span><span>have demonstrated </span><span>that only executing automatic builds and checking test coverage </span><span>have been considered to measure the level of Continuous Integra</span><span>tion maturity in several projects. In this paper we seek for under</span><span>stand the the benefits and challenges of monitoring CI practices in </span><span>day-to-day software development.</span><span> </span><span>We aim to evaluate the </span><span>impact of monitoring seven CI practices in a real-world scenario on </span><span>three public organizations in Brazil.</span><span> </span><span>We first developed a </span><span>CI practices monitoring suite tool and conducted a multiple-case </span><span>study applying a mixed-methods strategy, combining surveys, in</span><span>terviews, log data, and mining data from CI services.</span><span> </span><span>We </span><span>verified organization’ interest in monitoring CI practices. Moni</span><span>toring provided an overview of the organization’s CI status, not </span><span>covered by other tools, motivated constant improvement in these </span><span>practices, a perception of software quality, improve the communica</span><span>tion and and it is easy to adopt.</span><span> </span><span>Conclusions:</span><span> </span><span>We recommend that </span><span>companies adopt monitoring of CI practices and that CI services </span><span>integrate this monitoring into their dashboards.</span></p>
Flickr: USGS Bee Inventory and Monitoring Lab
<p>https://www.flickr.com/photos/usgsbiml/ The USGS Native Bee Inventory and Monitoring Program designs and develops large and small scale surveys for native bees. As part of that program we also develop identification tools and keys for native bee species. One aspect of creating those tools is creating accurate and detailed pictures of native bees and the plants and insects they interact with. This site is designed to provide easy access to our photographs so that they may be freely used. There is no need to ask for our permission for any use of these photographs. You can download the original version directly from Flickr at your convenience. </p><p></p>Please contact Sam Droege for further information at sdroege@usgs.gov or or 301-497-5840 or visit our website at: www.pwrc.usgs.gov/nativebees/ Photos were taken with a system developed by Dr. Anthony G Gutierrez (Tony.Gutierrez@us.army.mil) and taken by Brooke Alexander, Sue Boo, Heagan Ahmed and Sierra Williams. A how to manual for taking similar pictures is available a (note the url is very long and you have to use the shift and arrow key to highlight the whole thing): ftp://ftpext.usgs.gov/pub/er/md/laurel/Droege/How to Take MacroPhotographs of Insects BIML Lab2.pdf Posts do not = endorsement: on.doi.gov/pgwu0Y <p></p>Follow us on instagram: @usgsbiml <p></p>https://eol-jira.bibalex.org/browse/DATA-1855<p></p>
ScienceDex guides
Understand access before you commit
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.