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Fig. 4 in Collaborative monitoring of the ornamental trade of seahorses and pipefishes (Teleostei: Syngnathidae) in Brazil: Bahia State as a case study
Fig. 4. Hooka-diver using hand-nets to collect marine ornamental fishes. Baía de Todos os Santos, Bahia State, Brazil. Photo: Leo Dutra.
Monitoring open access publishing of NWO funded research (data)
<p>This is the dataset underlying the report "Monitoring open access publishing of NWO funded research" (https://doi.org/10.5281/zenodo.5055609). </p> <p>The report presents statistics on the extent to which publications from the period 2015–2020 funded by NWO are available in Open Access . The analyses presented in this report also cover publications funded by the Netherlands Organisation for Health Research and Development ZonMw.</p> <p>This report builds on an <a href="https://doi.org/10.5281/zenodo.4446042">earlier report</a> published in 2020 covering publications from the period 2015–2018.</p> <p> </p>
Anesthetic management of a case of pheochromocytoma using bioreactance method with Cheetah-NICOM monitor
<p><strong>Pheochromocytoma is a rare neoplasm originating from the chromaffin cells of the adrenal gland. The number of diagnosed and excised adrenal lesions has steadily increased over the last few decades. Contemporarily, improved monitoring systems and therapeutic advances have reduced mortality associated with this disease. During surgery the anesthesiologist must be ready to face sudden hemodynamic, metabolic and electrolyte fluctuations due to the release of catecholamines. In this Case Report, we describe a particularly complex anesthesiologic management of a large secretory lesion by using Cheetah Non-Invasive Cardiac Output Monitor (Cheetah-NICOM monitor), non-invasive hemodynamic monitoring system. A 72-year-old female patient was subjected to adrenalctomy after a diagnosis of an adrenal mass (5 cm) compatible with pheochromocytoma (highlighted by metanephrine dosage). Patient reports recurrent episodes of hypertensive crisis, sweating and precordial pain and was also affected by Type 2 diabetes mellitus. Adrenal surgery for pheochromocytoma results in a significant increase in heart rate and peripheral vascular resistance, which should therefore be monitored to guide the infusion of medicinal products. Although a preoperative preparation with Alpha and beta blockers was carried out, high doses of short-lived beta-blockers and alphalytic and vasodilator were required during the intervention. This case report shows that Cheetah-NICOM monitor allowed us to manage prompty and optimally the catecholaminergic storm and the volemic filling obtaining a rapid postoperative recovery.</strong></p>
Wastewater monitoring of SARS-CoV-2 from wastewater in Bratislava, Slovakia and other Slovak cities
<p>The statistics for Bratislava and other selected Slovak cities - Košice, Prešov, Žilina, Banská Bystrica, Trenčín, Trnava, Piešťany, Nováky, Poprad (Petržalka is a district of Bratislava) shows the correlation between the positive PCR tests, deaths caused by COVID-19 and detected virus particles from wastewater (based on a wastewater model developed by the Slovak University of Technology, Faculty of Chemical and Food Technology) in a certain period of time in 2020-2021.</p> <p>The statistics were developed as a result of the Project VIR-SCAN – Wastewater Monitoring Data as an Early Warning Tool to alert COVID-19 in the Population, supported by the EOSCsecretariat.eu</p> <p>Project VIR-SCAN – Wastewater Monitoring Data as an Early Warning Tool to alert COVID-19 in the Population“ has received funding from the EOSC Secretariat project. EOSCsecretariat.eu has received funding from the European Union’s Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant Agreement number 831644.</p>
A river on fiber: high resolution fluvial monitoring with distributed acoustic sensing – Data, Matlab Scripts and App
<p>Matlab software and data associated with Roth et al. (submitted to Seismica, 2025).</p>
DCASE 2018, Task 5: Monitoring of domestic activities based on multi-channel acoustics - Evaluation dataset
<p>The dataset is a derivative of the SINS dataset and is meant to be used as an evaluation set for the <a href="http://dcase.community/challenge2018/task-monitoring-domestic-activities">DCASE2018 Task 5 challenge</a>. The development set to be used can be found <a href="https://zenodo.org/record/1247102#.WzIF_NUzZhE">here</a>. The dataset is a derivative of the SINS database.</p> <p>The SINS database contains a continuous recording of one person living in a vacation home over a period of one week. The recordings were manually annotated on daily activity level: "Cooking", "Dishwashing", "Eating", "Social activity (visit, phone call)", "Vacuum cleaning", "Watching TV", "Working", "Presence" and "Absence". More information can be found on (please cite this papers when using the dataset):</p> <p>G. Dekkers, S. Lauwereins, B. Thoen, M. W. Adhana, H. Brouckxon, T. van Waterschoot, B. Vanrumste, M. Verhelst, and P. Karsmakers, “The SINS database for detection of daily activities in a home environment using an acoustic<br> sensor network,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32–36.</p> <p>G. Dekkers, L. Vuegen, T. van Waterschoot, B. Vanrumste, and P. Karsmakers, “DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics,” KU Leuven, Tech. Rep., July 2018.</p> <p>The derivative of the SINS database, 'DCASE 2018 – Task 5 evaluation dataset' consists of data collected by 7 microphone arrays in the combined living room and kitchen area. The continuous recordings were split into audio segments of 10s. These audio segments are provided as individual files. In total 72972 segments are made available, leading to approximately 200 hours of data with annotations.</p> <p>More information about the challenge and the specific dataset can be found here. Information solely related to the content of the dataset is available in 'DCASE2018-task5-eval.doc.zip'.</p> <p>By accessing or using this database, the user accepts the provided EULA (available in DCASE2018-task5-eval.doc.zip).</p>
Sentinel-3 Altimetry satellite imagery for Inland Water Altimetry Monitoring
<p>Sentinel-3 Altimetry satellite imagery for Inland Water Altimetry Monitoring</p>
EV data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds. </p>
Cow drinking monitoring tests with ultrasonic sensor setup Aug 12th and Sep 20th, 2022
<p>We tested a device that could potentially be developed for use in large scale drinking monitoring of individual animals. Our setup consisted of two plastic cylindrical containers having the inner diameter of 275 millimeters. On top of the other cylinder were placed two ultrasonic sensors that measured the distance to the water level in the container. The containers were connected with a hose (inner diameter 25 millimeters) so that the water level on both containers was always the same. Faucets shown on the image were completely open during the experiments that took place on August 12th and September 20th, 2022. Cows were able to freely access and drink from the second container which had the height of 100 centimeters in the first experiment and reduced height of 80 centimeters in the second experiment. </p> <p>Two ultrasonic sensors were used and they were JSN-SR04T-2.0 ja Maxbotix MB7389. Sensors were connected to circuit board V2 ESP8266 Development Board (CH341) from which measurements were collected to a PC programmatically at about 0.3 second intervals. Both sensors had the resolution of 1 millimeter which corresponds to 0.6 liters in the used containers.</p> <p>Image of the setup and its installation during the experiment are shown in the photographs. There was a small leakage in the container as is seen in the data (slow and constant decrease of water level). In the first experiment, the leakage was compensated by continuous flow of water after 17:30. On other times the containers were filled manually.</p> <p>Videos are taken with no particular plan but, instead, when something interesting was seen. Timestamp in the filename refers to the starting time of the video in format YYYYMMDD_HHMMSSsss.</p> <p>All times refer to Finnish time UTC+3.</p> <p>Data and videas are shared with the following license: Creative Commons ByAttribution (CC-BY).</p>
Object-based image analysis for monitoring plant invasions, can we use an open-source solution?
<p><strong>Introduction</strong></p> <p>This is a practical exercise testing possibilities of open-source solutions (FOSS) for object-based image analysis (OBIA) to monitor plant invasion using unoccupied aerial system (UAS, drone).</p> <p>The material is accompanying a chapter <strong><em>Müllerová, J. et al. (2023). Vegetation mapping and monitoring by unoccupied aerial systems – current state and perspectives. In: Manfreda, S. et Eyal B.D. (eds). Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments. Elsevier.</em></strong></p> <p>The material is meant for readers to run the workflow and detect invasion of giant hogweed on the UAS data themselves testing different FOSS solutions.</p> <p> </p> <p><strong>Data</strong></p> <p>• a subset of UAS-borne data (consumer camera) collected in Czech Republic during the flowering of a noxious invasive plant species giant hogweed (<em>Heracleum mantegazzianum</em>)</p> <p>• training dataset</p> <p>• eCognition rulebase (proprietary OBIA software)</p> <p>• a script for SegOptim package implemented in R</p> <p> </p> <p><strong>Description</strong></p> <p>The use case represents a simple application of OBIA approach based on the SegOptim package implemented in R.</p> <p>Four bands (RGBN) UAS image subset are available, capturing the central area of a heavily invaded location (CZ) by giant hogweed (Heracleum mantegazzianum). Thanks to the proper image timing, the invasive species is clearly observable as white objects (in RGB) representing the various stage of the blossom. Considering the complex shape of the flower heads, detection based on image segmentation outperforms pixel-based classification (Müllerová et al., 2017). Simple segmentation of input imagery is performed (for simplicity only the spectral bands are considered both for segmentation and feature space definition, however additional features such as vegetation indices or textural measures may be included), followed by supervised classification using training data. Finally, a visual comparison of result detection both from proprietary (eCognition) and open-source (SegOptim) implementation is provided, confirming comparable results.</p> <p>Based on #github("joaofgoncalves/SegOptim")</p> <p> </p> <p><strong>References</strong></p> <p>Gonçalves, J., Pôças, I., Marcos, B., Mücher, C. A., & Honrado, J. P. (2019). SegOptim—A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data. <em>International Journal of Applied Earth Observation and Geoinformation</em>, <em>76</em>, 218-230.</p> <p>Müllerová, J., Brůna, J., Bartaloš, T., Dvořák, P., Vítková, M. & Pyšek, P. (2017b). Timing Is Important: Unmanned Aircraft vs. Satellite Imagery in Plant Invasion Monitoring. Frontiers in Plant Science 8:1–13.</p> <p>Accompanying material for</p> <p>Müllerová, J. et al. (2023). Vegetation mapping and monitoring by unoccupied aerial systems – current state and perspectives. In: Manfreda, S. et Eyal B.D. (eds). Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments. Elsevier</p>
Wood Buffalo Environmental Association (WBEA) Historical Monitoring Data used in "Passive Tracer Modelling at Super-Resolution with WRF-ARW to Assess Mass-Balance Schemes"
<p>Wood Buffalo Environmental Association (WBEA) Historical Monitoring Data from two monitoring stations Bertha Ganter – Fort McKay and Barge Landing for 20 August 2013 to 2 September 2013. This data was used in "Passive Tracer Modelling at Super-Resolution with WRF-ARW to Assess Mass-Balance Schemes" (Fathi et al., 2022 - egusphere-2022-1125) for model output and observational data comparisons. The same data can be accessed and downloaded from "<a href="https://wbea.org/historical-monitoring-data/">https://wbea.org/historical-monitoring-data/</a>".</p>
Portable two-filter dual-flow-loop 222Rn detector: stand-alone monitor and calibration transfer device
<p>Little overlap exists in the required capabilities of <sup>222</sup>Rn (radon) monitors for public health and atmospheric research. The former requires robust, compact, easily transportable instruments to characterise daily to yearly variability >100 Bq m<sup>−3</sup>, whereas the latter requires static instruments capable of characterising sub-hourly variability between 0.1 and 100 Bq m<sup>−3</sup>. Consequently, detector development has evolved independently for the two research communities, and while many radon measurements are being made world-wide, the full potential of this measurement network can't be realised because not all results are comparable. Development of a monitor that satisfies the primary needs of both measurement communities, including a calibration traceable to the International System of Units (SI), would constitute an important step toward (i) increasing the availability of radon measurements to both research communities, and (ii) providing a means to harmonize and compare radon measurements across the existing eclectic global network of radon detectors. To this end, we describe a prototype detector built by the Australian Nuclear Science and Technology Organisation (ANSTO), in collaboration with the EMPIR 19ENV01 <em>traceRadon</em> Project and Physikalisch-Technische Bundesanstalt (PTB). This two-filter dual-flow-loop radon monitor can be transported in a standard vehicle, fits in a 19<sup>′′</sup> instrument rack, has a 30 min temporal resolution, and a detection limit of ∼0.14 Bq m<sup>−3</sup>. It is capable of continuous, long-term, low-maintenance, low-power, indoor or outdoor monitoring with a high sensitivity and an uncertainty of ∼15 % at 1 Bq m<sup>−3</sup>. Furthermore, we demonstrate the successful transfer of an SI traceable calibration from this portable monitor to a 1500 L two-filter radon monitor under field conditions.</p>
ScintPi 2.0 and 3.0: low-cost GNSS-based monitors of ionospheric scintillation and total electron content
<p> </p> <p>This data set provides measurements made by PolaR5x and ScintPi3.0 receivers in Presidente Prudente, Brazil for two consecutive days.</p>
Data for: Zebra finch song ecology: monitoring of breeding, observational transects, focal and year-round acoustic recordings, and a large-scale simultaneous playback experiment
<p class="MsoNormal">Male songbirds sing to establish territories and to attract mates. However, increasing reports of singing in non-reproductive contexts and by females show that song use is more diverse than previously considered. Therefore, alternative functions of song, such as social cohesion and synchronisation of breeding, by and large were overlooked even in such well-studied species as the zebra finch (<em>Taeniopygia guttata</em>). In these social songbirds only the males sing and pairs breed synchronously in loose colonies following aseasonal rain events in their arid habitat. As males are not territorial, and pairs form long-term monogamous bonds early in life, conventional theory predicts that zebra finches should not sing much at all; yet they do and their song is the focus of hundreds of lab-based studies. We hypothesise that zebra finch song functions to maintain social cohesion and to synchronise breeding. Here we test this idea using data from five years of field studies, including observational transects, focal and year-round audio recordings, and a large-scale playback experiment. We show that zebra finches frequently sing while in groups, that breeding status influences song output at the nest and at aggregations, that they sing year-round, and that they predominantly sing when with their partner, suggesting that song remains important after pair formation. Our playback reveals that song actively features in social aggregations as it attracts conspecifics. Together, these results demonstrate that birdsong has important functions beyond territoriality and mate choice, illustrating its importance in coordination and cohesion of social units within larger societies.</p>
RRI2SCALE_Monitoring Results_2022.12.19_v1
<p>This dataset contains the results of the monitoring activities that were conducted during the RRI2SCALE project to measure their performance and impact.</p> <p>More Info:</p> <p>Throughout the project, regional authorities and other project partners closely monitored an indicators list and collected the necessary data. Two key data collection methods employed were the following: (i) Regional authorities compiled short reports based on semi-structured templates every four months; and (ii) Feedback collection from participants in key project activities, such as the multistakeholder dialogues and the co-creation workshop. The current dataset provides all the information collected through the above methods. </p>
Long-term snow chemical composition monitoring - Hansbreen glacier (Hornsund) - raw data
<p>During the accumulation season, snow samples were taken on Hansbreen Glacier. Several times per season. Snow samples were collected in polyethylene sterile bags and transported to the Polish Polar Station Hornsund. After melting at room temperature, the pH, conductivity and chemical composition (major ions) were analysed in the chemical laboratory of the Polish Polar Station.<br> Snow chemical composition: major ions, HCO3-, pH, conductivity</p> <p>Presented data from 2015 to 2019</p> <p>The data has not been checked, which means that it is raw data.</p> <p>Principal Investigator (PI) Adam Nawrot</p>
Testing the effectiveness of genetic monitoring using genetic non-invasive sampling
<p>1. Effective conservation requires accurate data on population genetic diversity, inbreeding, and genetic structure. Increasingly, scientists are adopting genetic non-invasive sampling as a cost-effective population-wide genetic monitoring approach. Genetic non-invasive sampling has, however, known limitations which may impact the accuracy of downstream genetic analyses.</p> <p>2. Here, using high quality SNP data from blood/tissue sampling of a free-ranging koala population (n = 430), we investigated how the reduced SNP panel size and call rate typical of genetic non-invasive samples (derived from experimental and field trials) impacts the accuracy of genetic measures, and also the effect of sampling intensity on these measures.</p> <p>3. We found that genetic non-invasive sampling at small sample sizes (14% of population) can provide accurate population diversity measures, but slightly underestimated population inbreeding coefficients. Accurate measures of internal relatedness required at least 33% of the population to be sampled. Accurate geographic and genetic spatial autocorrelation analysis requires between 28% and 51% of the population to be sampled.</p> <p>4. We show that genetic non-invasive sampling at low sample sizes can provide a powerful tool to aid conservation decision-making and provide recommendations for researchers looking to apply these techniques to free-ranging systems.</p>
Long-term atmospheric precipitation monitoring in Hornsund region (Fuglebekken) - raw data
<p>Since 2004, snow and rain samples have been collected in the Fuglebekken catchment in close vicinity of the Polish Polar Station Hornsund. The rain and snow samples are collected after every event. The pH, conductivity and chemical composition (major ions) are analysed at the Polish Polar Station’s chemical laboratory. The rain gauge is checked approximately once a day.</p> <p>Presented data from 2016 to 2022</p> <p>The data has not been checked, which means that it is raw data.</p>
Data for: Real time g(2) monitoring with 100 kHz sampling rate
<p>Data for the publication C. Lüders, J. Thewes, and M. Assmann, Real time g<sup>(2)</sup> monitoring with 100 kHz sampling rate, Opt. Express <strong>26</strong>, 24854-24863 (2018).</p> <p>We introduce a technique to determine photon correlations of optical light fields in real time. The method is based on ultrafast phase-randomized homodyne detection and allows us to follow the temporal evolution of the second-order correlation function <em>g</em><sup>(2)</sup>(0) of a light field. We demonstrate the capabilities of our approach by applying it to a laser diode operated in the threshold region. In particular, we are able to monitor the emission dynamics of the diode switching back and forth between lasing and spontaneous emission with a <em>g</em><sup>(2)</sup>(0)-sampling rate of 100 kHz.</p> <p>Funded by German Science Foundation (DFG) (AS 459/1-2).</p>
Quantifying wetness variability in aapa mires with Sentinel-2: towards improved monitoring of an EU priority habitat [Dataset]
<p>This repository contains data used in Jussila et al. 2023 paper "Quantifying wetness variability in aapa mires with Sentinel-2: towards improved monitoring of an EU priority habitat" (submitted). The files uploaded in the repository include (i) spatial polygon data of flark mires located in Finnish aapa mire occurrence zone, (ii) polygon subset of the flark mires observed in the study, focused on mires belonging to Natura 2000 network (ii) monthly information for April-September period in 2017-2020 of climatic water balance and Sentinel-2 -derived wetness metrics, as average values per mire, and (iii) training point data used to train the decision tree model which was used in the study to detect wet flark surfaces in the studied aapa mires. Retrieving the metrics from Sentinel-2 satellite imagery for the analysis of variability in wetness was executed with Sentinelhub Batch statistical API, and the process is documented in project GitHub repository: <a href="https://github.com/sykefi/feo-aapa">https://github.com/sykefi/feo-aapa</a>. </p> <p>Additional information of data is provided in the README file.</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.