Find research datasets worth reusing

opencc-by-4.0Nov 2024View details →

Invention and application of epoch of Kifilideen's Sum Formula for Kifilideen's General Matrix Progression Series of infinite terms in solving real-world problems

*Sharing a Notable Achievement* I am honored to announce that my research paper, titled 'Invention and Application of Epoch of Kifilideen’s Sum Formula for Kifilideen’s General Matrix Progression Series of Infinite Terms in Solving Real-World Problems,' was among the three papers selected by the College of Engineering (COLENG) for presentation at the recent Science and Technology Fair/Exhibition organized by Bells University of Technology, Ota, Ogun State, Nigeria, on October 28, 2024. I am delighted to share that COLENG secured the first position in the Inter-Collegiate poster competition, a testament to the outstanding collective efforts of our researchers, staff, and team members who contributed to the success. I extend my gratitude to the Dean of Engineering for his exceptional leadership and guidance, which played a pivotal role in this achievement. Congratulations to my colleagues whose papers were also presented, and to everyone who contributed to this success. Award Recognition Sincerely, Engr. Dr. Kifilideen Lekan OSANYINPEJU Agricultural and Bio-System Engineering College of Engineering Bells University of Technology, Ota, Ogun State, Nigeria

opencc-zeroDec 2017View details →

Data from: Evaluating consumptive and nonconsumptive predator effects on prey density using field times series data

Determining the degree to which predation affects prey abundance in natural communities constitutes a key goal of ecological research. Predators can affect prey through both consumptive effects (CEs) and nonconsumptive effects (NCEs), although the contributions of each mechanism to the density of prey populations remain largely hypothetical in most systems. Common statistical methods applied to time series data cannot elucidate the mechanisms responsible for hypothesized predator effects on prey density (e.g., differentiate CEs from NCEs), nor provide parameters for predictive models. State space models (SSMs) applied to time series data offer a way to meet these goals. Here, we employ SSMs to assess effects of an invasive predatory zooplankter, Bythotrephes longimanus, on an important prey species, Daphnia mendotae, in Lake Michigan. We fit mechanistic models in a SSM framework to seasonal time series (1994-2012) using a recently developed, maximum likelihood-based optimization method, iterated filtering, which can overcome challenges in ecological data (e.g. nonlinearities, measurement error, and irregular sampling intervals). Our results indicate that B. longimanus strongly influences D. mendotae dynamics, with mean annual peak densities of B. longimanus observed in Lake Michigan estimated to cause a 61% reduction in D. mendotae population growth rate and a 59% reduction in peak biomass density. Further, the mechanism underlying the B. longimanus effect is most consistent with an NCE via reduced birth rates. The SSM approach also provided estimates for key biological parameters (e.g., demographic rates) and the contribution of dynamic stochasticity and measurement error. Our study therefore highlights the utility of SSMs to enhance inference for species interactions from time series data. In particular, our findings provide evidence derived directly from survey data that the invasive zooplankter B. longimanus is affecting zooplankton demographics and offer parameter estimates needed to inform predictive models that explore the effect of B. longimanus under different scenarios such as climate change.

opencc-by-4.0Jun 2021View details →

PASTIS - Panoptic Segmentation of Satellite image TIme Series

Public dataset for Panoptic segmentation of agricultural parcels from satellite image time series. See companion <a href="https://github.com/VSainteuf/pastis-benchmark">github repository </a> for more information.

Large ensemble climate modelling time series for the Rhine catchment, including drought2018 storylines

Dataset associated with Van der Wiel, Lenderink, De Vries (2021): Physical storylines of future European drought events like 2018 based on ensemble climate modelling, Weather and Climate Extremes, DOI <a href="http://doi.org/10.1016/j.wace.2021.100350">10.1016/j.wace.2021.100350</a>. Large ensemble climate modelling time series for the Rhine catchment. The dataset contains three ensembles (present-day, pre-industrial + 2C-warming, pre-industrial + 3C-warming) of 2000 years each, various variables related to drought are included. All data is derived from the EC-Earth global climate model (v2, Hazeleger et al. 2012, DOI <a href="https://doi.org/10.1007/s00382-011-1228-5">10.1007/s00382-011-1228-5</a>). Descriptions of large ensemble experimental setup can be found in Van der Wiel et al. (2019, DOI <a href="http://doi.org/10.1029/2019GL081967">10.1029/2019GL081967</a>). Files: *_d_ECEarth_??_Rhine.tar.gz Additionally, three sets of storylines of droughts similar to the western European drought of 2018 are included. These are the simulated events selected from the large ensembles, using metrics 1, 2 and 3 of Van der Wiel et al. (2021, DOI <a href="http://doi.org/10.1016/j.wace.2021.100350">10.1016/j.wace.2021.100350</a>). Files: drought18_m[123]_Rhine.tar.gz

opencc-zeroJul 2021View details →

The δ13C series of different components from Masson pine

The idea of this study is to analyze the effects of climatic drivers on the radial growth (total ring width, earlywood width, and latewood width) and the δ13C series of different wood components (whole wood, α-cellulose, and holocelluose) from Masson pine in subtropical China. Pairwise correlation is significant between three ring width parameters. Earlywood and latewood width did not reveal much stronger climatic sensitivity rather than total ring width. This indicates that the use of intra-annual ring width maybe have little benefit in extracting more climate information. The mean δ13C series of the three components of the total ring had the strongest climatic response to the July–September relative humidity (r= -0.792 (whole wood, WW), -0.758 (holocellulose, HC) and -0.769 (α-cellulose, AC)). These results suggest that whole wood from Masson pine is sufficient to enhance the climate signal without cellulose isolation. Through both stationary temporal and spatial-statistical perspectives, the moisture drivers (summer/autumn) had a significant impact on three ring width parameters and three components of Masson pine. Overall, the tree ring width parameters and the δ13C series from the total ring showed a different response to the same climate drivers during the same period. The δ13C series may be a more representative climate proxy than tree-ring width parameters for the dendroclimatology in subtropical China.

Fault test cases for series compensated transmission line with capacitor at line terminal

This data set contains time series data of different simulated fault cases in high voltage series compensated transmission lines. The simulation is done in PSCAD using the Python automation library. The capacitor is located at one of the line terminals with CT and VT. The modelled line is 500 kV and 200 km long. The simulation is run for 1 second with 10 kHz sampling rate.  Each file contains 7 data in the following order,  <ol> <li>Time</li> <li>Voltage phase A</li> <li>Voltage phase B</li> <li>Voltage phase C</li> <li>Current phase A</li> <li>Current phase B</li> <li>Current phase C</li> </ol> The variables used to study different test cases are shown below, <ul> <li>Fault inception angle (phase A): 0 and 90 degree</li> <li>Source impedance ratio: 0.20 and 0.35</li> <li>Capacitor level: 94 µF(50%), 78 µF(60%), 67 µF(70%)</li> <li>Fault resistance: 0.10, 10, 20, 30 ohm</li> <li>Fault location: 10 km reverse, 10 km, 50 km, 100 km, 125 km, 150 km, 155 km, 160 km. 165 km, 170 km, 180 km, 190 km</li> <li>Fault type: No-fault, AG, BG, CG, ABG, CAG, BCG, ABCG, AB, CA, BC, ABC</li> </ul> All these factors lead to 6912 test cases in total. The test cases are organized in four (4) zipped folders each containing 1728 test cases. The PSCAD model file and an example python script that can be used to automate the simulations are also included herewith for anyone interested to replicate the results.  The name of the folder contains the information regarding fault inception angle and source impedance ratio for all test cases inside that folder, for example, the folder name Outputs_0_0.20 can be decoded as, 0: Fault inception angle (phase A) 0.20: Source impedance ration The files names inside the folders include information about the other variables used in generating the test case. For example, the name test_f_10_0_67_0.01 can be interpreted as, test_f: f for forward fault, r for reverse fault 10: fault location, 10 km 0: Fault type 67: Compensation level 0.01: Fault resistance Fault types are interpreted as in PSCAD. 0 = No-Fault, 1 = Phase A to Ground 2 = Phase B to Ground 3 = Phase C to Ground 4 = Phase AB to Ground 5 = Phase AC to Ground 6 = Phase BC to Ground 7 = Phase ABC to Ground 8 = Phase AB 9 = Phase AC 10 = Phase BC 11 = Phase ABC The different line parameters used in the PSCAD model is as below, Conductor Type: Chukar Geometric mean radius: 20.345 mm DC resistance: 0.0318Ω/km Strands: 84 Strand radius: 1.8491 mm Relative permeability: 1.0 Sag: 12 m Height: 22 m Sub-conductor: 2 Sub-conductor spacing: 0.4572 m Ground wire number: 2 Radius: 5.5245 mm DC resistance: 2.8645Ω/km Relative permeability: 1.0 Sag: 10 m Height: 10 m Impedance Positive sequence0.018 +j0.339 Ω/km Zero sequence0.266 +j1.017 Ω/km   These simulations were run for assessing time-domain protections. Therefore, the parallel CB protection across the series capacitor is disabled, as one can safely assume even with the highest current levels, the CB will take at least 20 ms to operate. This is higher than the time limits for time-domain protection.

A Non-destructive Method to Create a Time Series of Surface Area for Coral Using 3D Photogrammetry (Data)

This is the underlying data for the publication "A Non-destructive Method to Create a Time Series of Surface Area for Coral Using 3D Photogrammetry" by Daniel D Conley and Erin N. R. Hollander published in 2021.

Characterization of Irreversible Land Subsidence in the Yazd-Ardakan Plain, Iran from 2003 to 2020 InSAR Time Series

This repository contains the data used in <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022258">Mirzadeh et al., 2021</a>. It includes two InSAR time-series datasets from Envisat and Sentinel-1 satellite in both ascending and descending orbits, acquired over Yazd-Ardakan Plain, Iran, as well as, the population density information and weather data for this study area. Dataset 1: Envisat ascending track 99 and descending track 20 <ul> <li>Date: 06 Sep 2004 - 12 Jul 2010 (17 ascending acquisitions) + 26 Mar 2003 - 23 Oct 2010 (23 descending acquisitions)</li> <li>Processor: ISCE/stripmapStack + MintPy</li> <li>Displacement time-series (in HDF-EOS5 format): timeseries_LODcor_ERA5_ramp_demErr.h5</li> <li>Mean LOS Velocity (in HDF-EOS5 format): velocity.h5</li> <li>Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5</li> <li>Geometry (in HDF-EOS5 format): geometryRadar.h5</li> </ul> Dataset 2: Sentinel-1 ascending track 130 and descending track 64 <ul> <li>Date: 14 Oct 2014 - 28 Mar 2020 (129 ascending acquisitions) + 10 Oct 2014 - 24 Mar 2020 (119 descending acquisitions)</li> <li>Processor: ISCE/topsStack + MintPy</li> <li>Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5</li> <li>Mean LOS Velocity (in HDF-EOS5 format): velocity.h5</li> <li>Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5</li> <li>Geometry (in HDF-EOS5 format): geometryRadar.h5</li> </ul> The time series and Mean LOS Velocity (MVL) products can be georeferenced and resampled using the makTempCoh and geometryRadar products, and the MintPy commands/functions.

Long-term time series of mussel and scallop abundances in the Bay of Seine (Normandy, France).

In Normandy (France), and particularly in the Bay of Seine, the great scallop Pecten maximus and the blue mussel Mytilus edulis are the main bivalve molluscs species harvested by the local fishing fleet. In this area, the scallop stock is one of the most important in Europe and appears to be growing since a few years. Its exploitation actually sustains an important economic activity (with a landed volume of 15.000 tons per year). However, population growth is not monotonous and yearly recruitment of young scallops seems to be very variable. For mussels, a fleet of nearly 40 boats exploited the natural banks in the subtidal area, with a landed volume ranging between 1.000 and 5.000 tons, exceptionally reaching 30.000 tons per year depending of the yearly fluctuations of the juvenile mussels’ settlement. Since 2014, however, the yearly prospective campaigns have pointed a dramatic decline of the recruitment throughout the area. Long-term data series on bivalve settlement usually show strongly fluctuating patterns, due to the environmental sensitivity of mollusk-recruitment process. While scallop and mussel stocks historically presented strong fluctuations of abundance, yearly monitoring programs were required to estimate annual abundance, and to adjust the fishing effort in line with the available resources. In accordance with stakeholders and fishermen, Ifremer (the French Research Institute for Exploitation of the Sea) and the Regional Fisheries Committee conducted these campaigns since 1992 for scallops and 1982 for mussels. Here, we present the dataset synthetizing the results of these campaigns in order to extend the reuse potential of these data. Particularly, database may help to quantify the effects of environmental variations on recruitment of two marine bivalve species and forecast simulations of recruitment under climate change scenario For scallops, a various number of one nautical mile squares were sampled each year in the southern part of the Bay of Seine (approximately south of 49°35 north latitude). This number was determined following the results of the campaigns conducted in the previous years, to ensure the representativeness of the abundance estimators. In each sampling unit, the fisher boat hauled 2 survey dredges with a 2 meters wide aperture. Harvested individuals were then classified by age-class, and numbered. Later, we calculated back an abundance index per age-class and per surface unit covered by the dredges. For mussels, 5 small banks located in the south-western part of the Bay of Seine were prospected each year. Grandcamp bank is approximately located between 1°07’ W and 0°56’ W, and 49°26’ N. and 49°23’ N. Ravenoville bank boundaries are 1°16’ W-1°07’ W, and 49°32’ N-49°25’N. Réville bank boundaries are 1°15’ W and 1°10’ W, and 49°37’ N and 49°34’ N. Moulard bank boundaries are 1°15’ W and 1°10’ W, and 49°41’ N and 49°38’ N. Barfleur bank boundaries are 1°21’ W and 1°10’ W, and 49°48’ N and 49°40’ N. During the annual campaigns, chartered fishermen vessels prospected the different banks by dredging, following a sampling design adapted to the mussel distribution and divided by a various number of one mile squares. Each year and for each bank, they realized one haul in the sampling squares located in the periphery of the bank to determine the mussel coverage. Once the boundaries of the bank delimited, the sampling effort was uniformly distributed within the area. In any one haul, the mussels were weighted and a subsample of the harvested individuals were numbered, measured and weighted individually. Later, we estimated the mean individual mass per size-class, and deduced the number of mussel per size-class and per sampling unit. In this case, the abundance index consists in an index of dredging-yield, expressed in kilograms per minute of hauling one dredge. This index was calculated for the commercial-sized mussels (> 40 mm) only, because of the reduced catchability of smaller mussels. The dataset contains 4 columns and 186 rows. The columns are ‘year’, ‘species’, ‘area’, ‘index’.

monthly time series in Qaidam basin from 2002 to 2019

The time series of monthly precipitation in Qaidam basin is converted by monthly observations of five groud meteorological stations from 2002 to 2019. The origional observation data of five ground meteorological stations is downloaded from the website (http://data.cma.cn/en) with the permission.

Time series of the longitudinal gradient of Venus's brightness temperature measured by Akatsuki LIR

The files contain the time series of the longitudinal gradient of Venusian cloud's brightness temperature measured by LIR onboard JAXA's Venus orbiter Akatsuki. The data were derived and analyzed in the paper "Planetary-Scale Waves Seen in Thermal Infrared Images of Venusian Cloud Top" by Kajiwara et al. The filename represents the latitude for each time series (For example, "10N" means 10 degrees north, and "EQ" means the equator). In all files, the first column gives the approximate elapsed time in days from 18 May 2017: the exact dates are given in the paper.  The second column gives the longitudinal gradient of the brightness temperature in unit of K/degree.

LA-ICP-MS line scan data and time-series analysis outputs for Baltic Sea sediment core F80

The datafile contains two sheets: HTM and MCA, corresponding to geochemical data from the Holocene Thermal Maximum and Medieval Climate Anomaly intervals, respectively, of a sediment core from the Baltic Sea (site F80, 58°00.00N, 19°53.81E, water depth 191m, Fårö Deep, collected during the HYPER/COMBINE cruise of R/V Aranda, May/June 2009). In each sheet, columns A-J contain Laser Ablation (LA)-ICP-MS line scan data of element ratios in resin-embedded sediment (Mo/Al, Fe/Al and Br/P) presented in the time domain (Age in years BP). Dating of the sediment core is described in the accompanying manuscript and references therein. These profiles are presented in three forms: Raw= raw data resampled to 1 year resolution; Det= detrended and normalized to unit variance; Gau; Gaussian bandpass filter at a period of 20-100 years. Columns L-S contain time-series analysis results of the detrended, normalized elemental ratios in period domain, including power spectra of each ratio (Blackman-Tukey window, columns M-O) and cross-spectral analysis (Blackman-Tukey window, bandwidth 5 years) of Mo/Al vs Br/P (columns P-Q) and Mo/Al vs Fe/Al (columns R-S), respectively. All analyses were performed in Analyseries 1.1.1 (Paillard et al., 1996). Figures containing the data have been submitted as part of a manuscript to Geophysical Research Letters (Jilbert et al., forthcoming),   Paillard, D., Labeyrie, L., & Yiou, P. (1996). Macintosh program performs time‐series analysis. Eos, Transactions American Geophysical Union, 77(39), 379-379. <a href="https://doi.org/10.1029/96EO00259">https://doi.org/10.1029/96EO00259</a> Jilbert, T., Gustafsson, B.G., Veldhuijzen, S., Reed, D.C., van Helmond, N.A.G.M., Hermans, M., & Slomp, C.P (forthcoming). Iron-phosphorus feedbacks drive multidecadal oscillations in Baltic Sea hypoxia. Submitted to Geophysical Research Letters

opencc-by-4.0Sep 2021View details →

Synthetic soil temperature time-series

The synthetic experiments are implemented to investigate the impact of different environmental conditions on the uncertainty of thermal diffusivity estimates. We generate synthetic temperature fields that represent various types of temperature gradients and fluctuations. This is achieved through forward modeling (i.e., heat-conduction process in a heterogeneous medium using an explicit finite difference method) with initial, top, and bottom boundary conditions set equal to the temperature time series observed at a monitoring site in Alaska during summer (synthetic_data_summer.csv ) and autumn (synthetic_data_autumn.csv ), and by assuming a soil column composed of three layers (i.e., top layer at 0.05–0.1 m, middle layer at 0.1–0.42 m, and bottom layer at 0.42–1.05 m). The thermal diffusivity in the three layers is assumed to be constant over time and equal to 0.16, 0.27 and 0.43 mm2s−1 for the case of summer temperatures and 0.25, 0.75 and 0.6 mm2s−1 for autumn. Each .csv file has 14 columns: first column containes information on the date and time on which temperature was recorded, the remaining 13 columns are soil temperature at 0.05, 0.10, 0.15, 0.20 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95 and 1.05 m below the ground surface. Impact of soil temperature trend and fluctuations on thermal diffusivity estimates is evaluated for various synthetic temperature fields  including (a) summer trend and fluctuations (synthetic_data_summer.csv ), (b) detrended fluctuations (synthetic_data_summer_detrended.csv ), (c) smoothed out daily and smaller fluctuations (synthetic_data_summer_noDiurnalFluct.csv), and (d) without fluctuations (synthetic_data_summer_noFluct.csv ).

opencc-by-4.0Sep 2021View details →

Simulated CO2 time series data based on Jena CO2 inversion and TM3 transport model, and MIROC-ACTM

Each file contains simulated CO2 time series at each surface station. The model, simulation type, and station are specified in the file name. These simulations are driven by either varying winds alone (e.g., Jena_W) or varying winds and fluxes (e.g., Jena_WF). The only MIROC-ACTM run is named ACTM_W_MLO.

opencc-by-4.0Sep 2021View details →

Wind Time Series Dataset

This dataset comes from a single turbine on an inland wind farm.  The dataset covers the duration of one year, but data at some of the time instances are missing. Two time resolutions are included in the dataset: the 10-min data and the hourly data; the latter is the further average of the former.  For each temporal resolution, the data is arranged in three columns. The first column is the time stamp, the second column is the wind speed, and the third column is the wind power. This dataset is used in Chapter 2 of the <a href="https://aml.engr.tamu.edu/book-dswe/">Data Science for Wind Energy</a> book.

opencc-by-4.0Oct 2021View details →

Manual 4D annotations of Micro X-ray CT time-series (4D dataset)

The 4D (3D+time) manual annotations of https://doi.org/10.5281/zenodo.4293394. For the annotation the SuRVoS workbench was used (https://doi.org/10.5281/10.5281/zenodo.247547) and our proposed hidden Markov model (HMM-T, https://doi.org/10.5281/zenodo.4416013 ) designed to refine 4D semantic segmentations made by a 3D semantic segmentation CNN after its applied on 4D data. Only slices 740-742 and 747-749 (refining to the first axis) are partially annotated. We acknowledge Diamond Light Source for the time on I13-2 under proposal mt9396.

openodc-pddlJun 2021View details →

Dataset of Bnet values of 23 radiation damage series analysed in "Quantifying and comparing radiation damage in the Protein Data Bank"

Dataset of Bnet values, plus associated metadata (resolution, Rwork, Rfree, temperature, etc.), for 23 radiation damage series deposited in the PDB that are analysed in the publication "Quantifying and comparing radiation damage in the Protein Data Bank"

opencc-zeroOct 2022View details →

Transitioning from microsatellites to SNP-based microhaplotypes in genetic monitoring programs: lessons from a 20-year time series of paired data.

Many long-term genetic monitoring programs began before next-generation sequencing became widely available. Older programs can now transition to new marker systems usually consisting of 1000s of SNP loci, but there are still important questions about comparability, precision, and accuracy of key metrics estimated using SNPs. Ideally, transitioned programs should capitalize on new information without sacrificing continuity of inference across the time series. We combined existing microsatellite-based genetic monitoring information with SNP-based microhaplotypes obtained from archived samples of Rio Grande silvery minnow (Hybognathus amarus) across a 20-year time series to evaluate point estimates and trajectories of key genetic metrics. Demographic and genetic monitoring bracketed multiple collapses of the wild population, and included cases where captive-born repatriates comprised the majority of spawners in the wild. Even with smaller sample sizes, microhaplotypes yielded comparable and in some cases more precise estimates of variance genetic effective population size, multilocus heterozygosity and inbreeding compared to microsatellites because many more microhaplotype loci were available. Microhaplotypes also recorded shifts in allele frequencies associated with population bottlenecks. Trends in microhaplotype-based inbreeding metrics were associated with the fraction of hatchery-reared repatriates to the wild, and should be incorporated into future genomic monitoring. Although differences in accuracy and precision of some metrics were observed between marker types, biological inferences and management recommendations were consistent.

opencc-zeroNov 2022View details →

Data for: Ectoparasite population dynamics affected by host body size but not host density or water temperature in a 32-year long time series

Host density, host body size, and ambient temperature have all been positively associated with increases in parasite infection. However, the relative importance of these factors in shaping long-term parasite population dynamics in wild host populations is unknown due to the absence of long-term studies. Here, we examine long-term drivers of gill lice (Copepoda) infections in Arctic charr (Salmonidae) over 32 years. We predicted that host density and body size and water temperature would all positively affect parasite population size and population growth rate. Our results show that fish size was the main driver of gill lice infections in Arctic charr. In addition, Arctic charr became infected at smaller sizes and with more parasites in years of higher brown trout population size. Negative intraguild interactions between brown trout and Arctic charr appear to drive smaller Arctic charr to seek refuge in deeper areas of the lake, thus increasing infection risk. There was no effect of host density on the force of infection, and the relationship between Arctic charr density and parasite mean abundance was negative, possibly due to an encounter-dilution effect. The population densities of host and parasite fluctuated independently of one another. Water temperature had negligible effects on the temporal dynamics of the gill lice population. Understanding long-term drivers of parasite population dynamics is key for research and management. In fish farms, artificially high densities of hosts lead to vast increases in the transmission of parasitic copepods. However, in wild fish populations fluctuating at natural densities, the surface area available for copepodid attachment might be more important than the density of available hosts.