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Lobster deployment, mortality and growth monitoring data at Lehanagh Pool_IMTA lab Ireland

Lobster deployment, mortality and growth monitoring data at Lehanagh Pool_IMTA lab Ireland

IoT Sensor based Sports Activity Monitoring using Skill Inheritance and Optimization based on AI

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opencc-zeroDec 2023View details →

dryad32/100

Data from: High nest failure in a zebra finch population and persistent predation of a nest by a monitor lizard

Predation is well known to have substantial effects on behaviour and fitness in many animals. In songbirds, nest predation is rarely observed directly, so that research focusses primarily on the consequences of predation and less on the behaviour of the predator. Here, we report predation data in a zebra finch (Taeniopygia catanosis) nest box population, highlighting a 22-min-long sequence, captured on video, of a sand goanna (Varanus gouldii) predating a zebra finch nest in the wild. This monitor lizard appeared to be extremely persistent with climbing and jumping up to the next box nine times, including three successive unsuccessful attempts that lead to a change in approach strategy. It removed all six nestlings from the nest box during those repeated approaches and consumed them. In combination with overall high predation rates in the study population we document here, the findings highlight the role that a single predator species can have on nest success and, thus potentially also breeding decisions and social organisation of the prey population. Specifically so in a species like the zebra finch which synchronises reproductive attempts through the use of social information acquired through nest inspections and which uses social hotspots where they could gather information on changes in local social composition due to the individualised signals they use.

Energy Consumption of IoT Monitoring Software Architectures in the Edge

Data repository with  the raw and synthesized data of the paper published in the ECSA 2024 "Energy Consumption of IoT Monitoring Software Architectures in the Edge" This repository presents the experimental results of an exploratory study that measures the energy consumption of  four Edge software architecture configurations of an indoor environmental monitoring IoT system. This dataset provides the raw measurements, the data analysis and the results comparison of the four architectures. This repository is composed of five folders. Their content is explainded following: - AdditionalMetrics: It includes the raw data obtained from the 24 experiments that are not used for calculating the energy consumption but it was provided by the measurement tools. - BasalEnergyConsumption: It includes the raw data of the experiments launched to measure the basal consumption of the Smart Gateway. In addition, the excel file with the calculation of the Basal Energy Consumption is also provided. - DataSynthesis: The data analysis and synthesis from the results of energy consumption are included in this folder.  - EnergyMeasurementExperiments: It includes the raw energy consumption data obtained from the 24 experiments. - Figures: It includes the figures generated from the data obtained.

WasteWater Quality Monitoring

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Dataset: Phytoplankton Cell-States: multiparameter lifetime flow monitoring reveals cellular heterogeneity: additional repeats

Additional datasets of repeated experiments for Dataset: Phytoplankton Cell-States: multiparameter lifetime flow monitoring reveals cellular heterogeneity

Monitoring Campaign of Environmental Data in Spotrs Centres of Catalonia, Spain

The dataset contains the environmental data collected during a monitoring campaign between 2022 and 2023 in Catalonia, Spain. The work is further described in the research paper "Calculating comfort indexes and applying comfort models to predict thermal sensation vote in sports centres" published in Indoor Air by Hindawi-Wiley (<a href="https://doi.org/10.1155/1970/9142303">https://doi.org/10.1155/1970/9142303</a>).

Data and Code for the manuscript "Confounding effects of leaf angle dynamics on vegetation indices - implications for monitoring vegetation from space"

This repository includes the data and code to reproduce the results for the study "Confounding effects of leaf angle dynamics on vegetation indices - implications for monitoring vegetation from space". The study shows that leaf angle dynamics systematically confound widely applied vegetation indices. Moreover, it is demonstrated that these effects are not random but tightly linked to abiotic environmental conditions. These findings demonstrate both challenges and opportunities for using VIs for vegetation monitoring.

Quantitatively Monitoring of Seasonal Frozen Ground Freeze-thaw Cycle Using Ambient Seismic Noise Data

This is the electronic supplemental data for the publication entitled  "Quantitatively Monitoring of Seasonal Frozen Ground Freeze-thaw Cycle Using Ambient Seismic Noise Data" submitted to Seismological Research Letters (SRL).  The names of the compressed files represent the experiment number and station number. For example, "1_2" indicates data collected from the second station during the first experiment. Each compressed file contains seismic raw data in the ".SAC" format. The filenames include the UTC end time of data collection. For instance, "453003616.00000001.2021.10.20.06.40.22.000.z.sac" indicates that data collection ended at 06:40:22 on October 20, 2021. Each complete .sac file contains 4 days of data with a sampling interval of 0.002 seconds.

Moving eDNA surveys into crop protection: a case study on the application of cowpea associated pests monitoring

Custom reference database of the study "Moving eDNA surveys into crop protection: a case study on the application of cowpea associated pests monitoring".

opennotspecifiedDec 2013View details →

FIGURE 5 in Recommendations For Monitoring Avian Populations With Point Counts: A Case Study In Southeastern Brazil

FIGURE 5: Monthly counts of rare (sightings ≤ 5 for the entire year) species comparing endemic and non-endemic species show that these rare species may be seen in any month of the year. Months are separated by dry and wet seasons.

opennotspecifiedDec 2013View details →

FIGURE 4 in Recommendations For Monitoring Avian Populations With Point Counts: A Case Study In Southeastern Brazil

FIGURE 4: Comparisons of species richness (A) and abundance (C) by time of day (morning – AM, and afternoon – PM), and separated by endemic and nonendemic species richness (B) and abundance (D) as the difference between AM and PM during 2006 show that more species and individuals were recorded on morning counts. Months begin in April to clearly separate the dry from the wet season. Error bars represent 95% confidence interval.

Austrian Science Fund (FWF) Open Access Compliance Monitoring 2023

I. Executive summary   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. 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. All principal investigators in FWF-funded projects are obliged to submit a final report within four months of completing their projects. In 2023, a total of 560 final reports were submitted to the FWF, 36 of which could not report any publications so far. 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 for peer-reviewed publications on the basis of final project reports submitted in the year 2023.   Main findings:   -A total of 6.389 publications were listed in the final project reports submitted in 2023. -Of those publications, 5.296 were conclusively identified as peer-reviewed. -Regarding compliance with the FWF's Open Access Policy, the analysis shows that 84% of the peer-reviewed publications listed in the final project reports submitted in 2023 were openly accessible  (2017: 90%, 2018: 92%, 2019: 89%, 2020: 84%, 2021: 82%, 2022: 85%). -The most frequently chosen option was hybrid open access (37%). The share of gold open access was 31%, the share of green open access 17%, and no open access 16%. -The majority of peer-reviewed publications submitted were journal articles (85%), 91% of which were openly accessible. -The lowest rate of compliance with the FWF's Open Access Policy could be found in editions, contributions to edited volumes, and monographs (34%). -The absolute number of publications listed in final reports in 2023 included 265 publications that were mentioned several times in different projects; however, those repetitions did not  affect the relative share of open access publications (84%).   II. Bias   Most of the publications were submitted to the FWF via a research documentation system (provided by ©Researchfish), in which FWF-funded researchers are able to enter and update their research data on an ongoing basis. The last check of the open access status was performed in March 2024. In some cases, the embargo period may have already expired, and publications labelled ‘closed’ in the FWF’s database may now be accessible through green open access.   Whenever the status ‘peer-reviewed’ could not be clearly identified according to the FWF’s guidelines, the publications were classified as non-peer reviewed. Openly available non-peer reviewed publications were entered as 'openly available’.

Supplementary material 9 from: Ushio M, Murakami H, Masuda R, Sado T, Miya M, Sakurai S, Yamanaka H, Minamoto T, Kondoh M (2018) Quantitative monitoring of multispecies fish environmental DNA using high-throughput sequencing. Metabarcoding and Metagenomics 2: e23297. https://doi.org/10.3897/mbmg.2.23297

Bland-Altman plots for the total fish eDNA (a), Japanese anchovy (Engraulis japonicus; b) and Japanese jack mackerel (Trachurus japonicus; c). Dashed lines indicate 95% uppper and lower limits and solid line indicates mean value.

Supplementary material 6 from: Ushio M, Murakami H, Masuda R, Sado T, Miya M, Sakurai S, Yamanaka H, Minamoto T, Kondoh M (2018) Quantitative monitoring of multispecies fish environmental DNA using high-throughput sequencing. Metabarcoding and Metagenomics 2: e23297. https://doi.org/10.3897/mbmg.2.23297

The numbers of eDNA copies of marine fish species quantified by metabarcoding with the internal standard DNA

Supplementary material 8 from: Ushio M, Murakami H, Masuda R, Sado T, Miya M, Sakurai S, Yamanaka H, Minamoto T, Kondoh M (2018) Quantitative monitoring of multispecies fish environmental DNA using high-throughput sequencing. Metabarcoding and Metagenomics 2: e23297. https://doi.org/10.3897/mbmg.2.23297

The relationship between MiSeq sequence reads and DNA copy numbers quantified by qPCR. Correlations for the total fish eDNA (all data, a; enlarged figure, b), Japanese anchovy (Engraulis japonicus; all data, c; enlarged figure, d) and Japanese jack mackerel (Trachurus japonicus; all data, e; enlarged figure, f). Dashed and soild lines indicate 1:1 line and linear regression line, respectively. Regression lines in the enlarged figures were drawn by excluding outliers. All regression lines, except for the lines for total fish eDNA, were significant (P < 0.05). Dotted boxed regions in a, c and e correspond to the range of the graphs in b, d and f, respectively. The intensity of red colour indicates the slope of the regression line used to convert sequence reads to the copy numbers.

Supplementary material 4 from: Ushio M, Murakami H, Masuda R, Sado T, Miya M, Sakurai S, Yamanaka H, Minamoto T, Kondoh M (2018) Quantitative monitoring of multispecies fish environmental DNA using high-throughput sequencing. Metabarcoding and Metagenomics 2: e23297. https://doi.org/10.3897/mbmg.2.23297

The relationship between MiSeq sequence reads and copy numbers of standard DNAs for 52 samples. Blue line indicates the linear regression between sequence reads and copy numbers. The regression lines are used to convert the MiSeq reads into the calculated copy numbers. Numbers in a grey region indicate sampling date. Note that regression slopes are different amongst samples, i.e. the number of sequence reads generated per eDNA copy is different amongst samples.

Supplementary material 5 from: Ushio M, Murakami H, Masuda R, Sado T, Miya M, Sakurai S, Yamanaka H, Minamoto T, Kondoh M (2018) Quantitative monitoring of multispecies fish environmental DNA using high-throughput sequencing. Metabarcoding and Metagenomics 2: e23297. https://doi.org/10.3897/mbmg.2.23297

The relationship between regression residuals and copy numbers of standard DNAs for 52 samples. Dashed line indicates zero residuals.

opencc-by-4.0Apr 2018View details →

SNPs for population monitoring of moose (Alces alces).

We have developed a panel of 86 autosomal SNPs by de novo reduced representation sequencing of 34 moose (16 female, 18 male) sampled throughout Sweden. The SNPs separates individuals with high confidence and are also informative for population level analyses. Furthermore, three SNPs for sex identification of moose and three SNPs diagnostic for sympatric deer species have been discovered de-novo and are included in the panel.