cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.58119/ulg/qjj0sa/gpsjey
title: 04ProMTullio_Cicero_ProMTullio_CicMTull.APN

description: :unav
DOI: 10.6084/m9.figshare.24201129.v1
title: How Does ChatGPT-3.5 Compare with Developers When Answering Questions and Revising Software?

description: This folder contains all the experiment results and programs for our research to investigate how ChatGPT3.5 performs compared to Developers when answering technical questions and revising software based on maintenance request.
DOI: 10.58119/ulg/qjj0sa/ydkr31
title: 16Nepos_Nepos_NepVitae_NepHamilcar.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/7xam17
title: 23Ovidius1_Ovidius_ArsAmatoria_OviArsA2.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/c5ssom
title: 24Ovidius2_Ovidius_Fasti_OvFasti4.APN

description: :unav
DOI: 10.21227/1b3x-ca08
title: Map and Localization error prediction dataset

description: This dataset is derived from a research paper proposing a wireless localization correction methodology based on Convolutional Neural Networks (CNN). The approach involves feature extraction from maps that depict both line of sight (LOS) and non-line of sight (NLOS) effects. The research includes four prediction tasks, categorizing CNN models based on building distribution and propagation mode, resulting in models with low prediction loss. Additionally, an error compensation scheme is designed using CNN-predicted localization errors. Comprehensive comparisons are made between the accuracy of the Time Difference of Arrival (TDOA) wireless localization algorithm and the TDOA results after error compensation. Overall, the CNN prediction method demonstrates significant performance in correcting localization errors. This dataset highlights the importance of preprocessing environmental maps to extract features related to localization error distribution using CNN, especially in complex scenarios involving multipath propagation.
DOI: 10.6084/m9.figshare.24205335
title: RAW DATA FIELD EXTENSION WORK MOTIVATION Survey at Agricultural Extension Center in Jambi Province

description: The research titled "FIELD EXTENSION WORK MOTIVATION Survey at Agricultural Extension Center in Jambi Province" aims to investigate the impact of Leadership, Organizational Culture, and Motivation on the performance of agricultural extension workers in Jambi Province. The study encompasses four main variables: Leadership, Organizational Culture, Motivation, and Performance. The research employed a survey design, and the research instruments were developed and validated using the following procedures: Content Validity Index (CVI). Following validation, data were collected from a population of 1866 individuals, and G Power was used to determine the sample size, resulting in a total of 1084 respondents. Out of these, 1016 respondents' data were processed and analyzed using the systematic steps of Partial Least Square Structural Equation Modeling (PLS-SEM) and Importance-Performance Map Analysis (IPMA).The key findings of the study support all hypotheses. The most influential predictor for Leadership Role is Fieldwork Motivation (β = 0.532, p &lt; 0.000; t = 2.034), followed by Organizational Culture, which has a significant impact on Field Worker Performance (β = 0.432, p &lt; 0.000; t = 14.465). In contrast, the weakest correlation was found between Field Work Motivation and Field Extension Worker Performance (β = 0.093, p &lt; 0.011; t = 2.567). Additionally, Leadership Role has a relatively weaker impact on Field Worker Performance (β = 0.098, p &lt; 0.042; t = 2.034). Finally, Organizational Culture significantly affects Field Work Motivation (β = 0.235, p &lt; 0.000; t = 7.808).
DOI: 10.5281/zenodo.8263026
title: Data of: Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing

description: This dataset contains the data and models used in the research journal publication: "Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing " which was funded from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 101001567).
DOI: 10.5281/zenodo.8263025
title: Data of: Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing

description: This dataset contains the data and models used in the research journal publication: "Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing " which was funded from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 101001567).
DOI: 10.18112/openneuro.ds004306.v1.0.2
title: MultisensoryDataset
DOI: 10.5281/zenodo.8376818
title: Four sweep cubic insulin data set recorded using dose mode (1MGy / scan) on Diamond Light Source beamline i04

description: Four sweep cubic insulin data set recorded on Diamond Light Source beamline i04 as part of routine testing. Data were collected with four full 360° scans / 0.1° / image to give a total of 1MGy / scan i.e. "carefully" to avoid problems of obvious radiation damage. The beam size was adjusted to be about the same as the crystal, spreading the dose uniformly across the sample. Processing using my "standard DIALS script" gives nice data to 1.2Å: <pre><code> Overall Low High High resolution limit 1.20 3.26 1.20 Low resolution limit 55.07 55.13 1.22 Completeness 100.0 100.0 100.0 Multiplicity 150.2 155.4 76.0 I/sigma 40.8 295.5 0.4 Rmerge(I) 0.075 0.027 7.170 Rmerge(I+/-) 0.075 0.026 7.127 Rmeas(I) 0.076 0.027 7.218 Rmeas(I+/-) 0.075 0.027 7.220 Rpim(I) 0.006 0.002 0.815 Rpim(I+/-) 0.008 0.003 1.140 CC half 1.000 1.000 0.335 Anomalous completeness 100.0 100.0 100.0 Anomalous multiplicity 77.7 84.8 38.9 Anomalous correlation 0.499 0.680 -0.005 Anomalous slope 0.626 dF/F 0.031 dI/s(dI) 0.761 Total observations 3709553 203869 91461 Total unique 24699 1312 1204</code></pre> Data shared to allow use in tutorials etc. as well as a reference for future data handling questions.
DOI: 10.5281/zenodo.8376817
title: Four sweep cubic insulin data set recorded using dose mode (1MGy / scan) on Diamond Light Source beamline i04

description: Four sweep cubic insulin data set recorded on Diamond Light Source beamline i04 as part of routine testing. Data were collected with four full 360° scans / 0.1° / image to give a total of 1MGy / scan i.e. "carefully" to avoid problems of obvious radiation damage. The beam size was adjusted to be about the same as the crystal, spreading the dose uniformly across the sample. Processing using my "standard DIALS script" gives nice data to 1.2Å: <pre><code> Overall Low High High resolution limit 1.20 3.26 1.20 Low resolution limit 55.07 55.13 1.22 Completeness 100.0 100.0 100.0 Multiplicity 150.2 155.4 76.0 I/sigma 40.8 295.5 0.4 Rmerge(I) 0.075 0.027 7.170 Rmerge(I+/-) 0.075 0.026 7.127 Rmeas(I) 0.076 0.027 7.218 Rmeas(I+/-) 0.075 0.027 7.220 Rpim(I) 0.006 0.002 0.815 Rpim(I+/-) 0.008 0.003 1.140 CC half 1.000 1.000 0.335 Anomalous completeness 100.0 100.0 100.0 Anomalous multiplicity 77.7 84.8 38.9 Anomalous correlation 0.499 0.680 -0.005 Anomalous slope 0.626 dF/F 0.031 dI/s(dI) 0.761 Total observations 3709553 203869 91461 Total unique 24699 1312 1204</code></pre> Data shared to allow use in tutorials etc. as well as a reference for future data handling questions.
DOI: 10.14272/uvlhgradyisrgz-uhfffaoysa-n.5
title: C28H36CuF6N8P
title: InChI=1S/2C14H18N4.Cu.F6P/c2*1-17(2)14(18(3)4)16-12-9-5-7-11-8-6-10-15-13(11)12;;1-7(2,3,4,5)6/h2*5-10H,1-4H3;;/q;;+1;-1

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/2C14H18N4.Cu.F6P/c2*1-17(2)14(18(3)4)16-12-9-5-7-11-8-6-10-15-13(11)12;;1-7(2,3,4,5)6/h2*5-10H,1-4H3;;/q;;+1;-1, and canonical SMILES descriptor[cheminf_000007]: F[P-](F)(F)(F)(F)F.CN(C(=Nc1cccc2c1nccc2)N(C)C)C.CN(C(=Nc1cccc2c1nccc2)N(C)C)C.[Cu+], and by the IUPAC name[cheminf_000107]: . The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-36082 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000025 | cyclic voltammetry (CV) CHMO:0000025 | cyclic voltammetry (CV) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations
DOI: 10.14272/uvlhgradyisrgz-uhfffaoysa-n/chmo0000025.7
title: cyclic voltammetry (CV) ()
title: InChI=1S/2C14H18N4.Cu.F6P/c2*1-17(2)14(18(3)4)16-12-9-5-7-11-8-6-10-15-13(11)12;;1-7(2,3,4,5)6/h2*5-10H,1-4H3;;/q;;+1;-1

description: dataset for cyclic voltammetry (CV) CV (1 mM in MeCN vs. RefE = Ag/AgNO3 (0.01 M AgNO3, 0.1 M TBAP in MeCN), 1 mM Fc, 100 mV/s): E1/2 (ΔEp) = −0.373 V (85 mV) [[Cu(TMGqu)2]2+/+], +0.060 V (80 mV) [Fc+/Fc]. CV (1 mM in MeCN vs. Fc+/Fc, 100 mV/s): E1/2,ref (ΔEp) = −0.433 V (85 mV), [[Cu(TMGqu)2]2+/+]. The measurement started in the direction of negative potentials.
DOI: 10.14272/uvlhgradyisrgz-uhfffaoysa-n/chmo0000025.8
title: cyclic voltammetry (CV) ()
title: InChI=1S/2C14H18N4.Cu.F6P/c2*1-17(2)14(18(3)4)16-12-9-5-7-11-8-6-10-15-13(11)12;;1-7(2,3,4,5)6/h2*5-10H,1-4H3;;/q;;+1;-1

description: dataset for cyclic voltammetry (CV) CV (1 mM in MeCN vs. RefE = Ag/AgNO3 (0.01 M AgNO3, 0.1 M TBAP in MeCN), 100 mV/s): E1/2 (ΔEp) = −0.375 V (90 mV) [[Cu(TMGqu)2]2+/+]. The measurement started in the direction of negative potentials.
DOI: 10.6084/m9.figshare.24205368.v1
title: Metabolomic dataset

description: In natural environments, photosynthetic organisms adjust their metabolism to cope with the fluctuating availability of combined nitrogen-source that is a growth limiting factor. For the acclimation, the dynamic degradation/synthesis of tetrapyrrolic pigments as well as of the amino acid arginine are pivotal; however, there was no evidence that these processes could be functionally coupled. Using co-immunopurification and spectral shift assays we identified that in the cyanobacterium Synechocystis sp. PCC 6803 the arginine-related ArgD and CphB enzymes form protein complex(e) with Gun4, an essential factor for chlorophyll biosynthesis. Gun4 binds ArgD with high affinity, and the ArgD-Gun4 complex strongly accumulates in cells supplemented with ornithine, a key intermediate of the arginine pathway. Increased ornithine levels restricted de novo synthesis of tetrapyrrolic pigments that arrested the recovery from nitrogen deficiency. Our data reveals a direct cross-talk between tetrapyrrole biosynthesis and arginine metabolism that clarifies the importance of balancing photosynthetic pigment synthesis with nitrogen homeostasis.
DOI: 10.6084/m9.figshare.24205368
title: Metabolomic dataset

description: In natural environments, photosynthetic organisms adjust their metabolism to cope with the fluctuating availability of combined nitrogen-source that is a growth limiting factor. For the acclimation, the dynamic degradation/synthesis of tetrapyrrolic pigments as well as of the amino acid arginine are pivotal; however, there was no evidence that these processes could be functionally coupled. Using co-immunopurification and spectral shift assays we identified that in the cyanobacterium Synechocystis sp. PCC 6803 the arginine-related ArgD and CphB enzymes form protein complex(e) with Gun4, an essential factor for chlorophyll biosynthesis. Gun4 binds ArgD with high affinity, and the ArgD-Gun4 complex strongly accumulates in cells supplemented with ornithine, a key intermediate of the arginine pathway. Increased ornithine levels restricted de novo synthesis of tetrapyrrolic pigments that arrested the recovery from nitrogen deficiency. Our data reveals a direct cross-talk between tetrapyrrole biosynthesis and arginine metabolism that clarifies the importance of balancing photosynthetic pigment synthesis with nitrogen homeostasis.
DOI: 10.5066/f7057cz3
title: UMRR Topobathy

description: Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
DOI: 10.5066/f7057f7h
title: 1989-91 Aquatic Habitats - Upper Mississippi River System

description: The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. Area coverage for this data set is the Upper Mississippi River between Minneapolis, MN and Cairo, IL, and the Illinois River from its confluence with the Mississippi to Joliet, IL. Most of the individual data files were created from 1989 land cover/use data, except for the La Grange navigation pool on the Illinois River. Due to high water conditions present in 1989, 1991 aerial photography and land cover/use data were used to create the La Grange data set.
DOI: 10.5066/f70g3h7x
title: Seasonal trends in eDNA detection and occupancy of bigheaded carps, Wabash River, IN

description: Invasive species may vary in their seasonal distribution and abundance due to environmental conditions such as precipitation and temperature. Bigheaded carps, which include silver and bighead carp, are one such taxon of invasive species that appear to change habitats seasonally. Seasonal changes in bigheaded carp distribution may occur because of hydrological changes, water temperature changes, and spawning activities. Monitoring this seasonal dispersal and migration is important for management to control the population size and spread of the species. We examined if environmental DNA (eDNA) approaches could detect seasonal changes in the occurrence of DNA in water samples and used these approaches to calculate the probability of detection of DNA within samples. To do this, we developed a novel genetic marker that was able to both detect and differentiate bighead and silver carp DNA. We implemented the genetic markers to study the occurrence of bigheaded carps at 3 sites on the Wabash River over the course of a year. These sites were chosen because they exist along a spatial gradient of bigheaded carps densities. Furthermore, we studied the Wabash River because of concerns that carps may be able to use the system to invade the Great Lakes via a connection at Eagle Marsh between the Wabash River's watershed and the Great Lakes' watershed. The Wabash River is a tributary of the Ohio River, which is a tributary of the Mississippi River and the source of bigheaded carps in the Wabash. We used occupancy modeling to estimate both the probability that a water sample contained DNA as well as the probability of detecting the DNA within a sample for both species. We found seasonal trends in the probability of detection and occupancy that varied across sites. These findings demonstrate that eDNA methods can detect seasonal changes in bigheaded carps densities and suggest the amount of DNA present changes seasonally. Both the probability of detection and the probability of a sample containing DNA were generally similar for both species. The site that was farthest upstream and had the lowest carp densities exhibited the strongest seasonal trends for both detection probabilities and sample occupancy probabilities. Furthermore, other observations suggest that carps seasonally leave this site, and we were able to detect this with our eDNA approach. More broadly, our research offers support for using eDNA to detect seasonal trends in abundances of aquatic invasive species.
DOI: 10.17882/57844
title: Experimental measurements of a synchronized flow velocity and a marine current turbine power production

description: An experimental database has been obtained in order to study the correlation between the flow turbulence and the performances of a marine current turbine. To this aim, a model of a tidal three-bladed horizontal axis turbine (1:20 scale) has been used in the IFREMER wave and current flume tank. In order to understand better the influence of turbulence on the turbine behaviour, the torque and the flow velocity have been recorded simultaneously in two locations (upstream and downstream of the turbine). The power produced has been measured at moderate frequency and the flow velocity measured using a Laser Doppler Velocimeter (LDV) with a high frequency sampling rate over a long period of time (three hours). The objective of this study is to carry out a statistical analysis of the flow time series, the torque measurements, and to study their coherency. The tests were carried out in the wave and current flume tank of IFREMER. The experimental working section is 4m wide by 2m deep and 18m long. The upstream intensity rate can be regulated by the use of flow straighteners. Two configurations are considered in this work with a mean upstream flow velocity of 0.8 m/s: configuration C1 with flow straighteners for a low turbulence rate of ~4 % and C2 without flow straighteners for a high turbulence rate of ~14 %. The flow velocity is measured at a distance of four times the turbine diameter D. These measurements are acquired successively at two locations, upstream and downstream of the turbine along is main axis (x direction). Furthermore, a second downstream measurement is taken at a distance D/2 in the y direction. The sensor device is a 2D Laser Doppler Velocimeter system that acquires point velocity values (u,v) related to (x,y) with an irregular sampling rate, that goes up to 800 or 900 Hz. The model consists of a three-bladed horizontal axis turbine, which is D=0.7m in diameter. The rotor is connected to a motor-gearbox assembly consisting of a gearbox, a DC motor, a ballast load and a motor speed control unit, providing an active rotor speed control. The turbine blades are designed from a NACA 63-418 profile. A torque meter is placed between the rotor and the gearbox for torque measurements at 100Hz. The measurements are performed upstream at a distance of four times the diameter for TSR = 4 (which corresponds to the nominal operating point) and TSR = 2.5, with a view to studying the turbine model behaviour for various operation conditions. In the article referenced below (Renewable Energy 2017), the experimental devices and the databases are presented. The turbulence and the flow scaling properties are characterized as well. The theoretical framework is the one of multi-fractal cascades and intermittency studies, a classical approach in fully developed turbulence. Non-linear and non-stationary methods such as Empirical Mode Decomposition (EMD) and Time Dependent Intrinsic Correlation (TDIC) have been used for correlation study.
DOI: 10.5066/f70z7250
title: Spatial and temporal dynamics of suspended particle characteristics and composition in Navigation Pool 19 of the Upper Mississippi River: data

description: Suspended particles are an essential component of large rivers influencing channel geomorphology, biogeochemical cycling of nutrients, and food web resources. The Upper Mississippi River (UMR) is a large floodplain river that exhibits pronounced spatiotemporal variation in environmental conditions and biota, providing an ideal environment for investigating dynamics of suspended particles in large river ecosystems. Here we investigated two questions: (1) How do suspended particle characteristics (e.g., size and morphology) vary temporally and spatially? and (2) What environmental variables have the strongest association with particle characteristics? Water sampling was conducted in June, August, and September of 2013 and 2014 in Navigation Pool 19 of the UMR. A FlowCAM particle imaging system was used to enumerate and measure particles 53�300 &amp;micro;m in diameter for size and shape characteristics (e.g., volume, elongation, and symmetry). Suspended particle characteristics varied considerably over space and time and were strongly associated with discharge and concentrations of nitrate + nitrite (NO3-) and soluble reactive phosphorous (SRP). Particle characteristics in backwaters were distinct from those in other habitats for most of the study period, likely due to reduced hydrologic connectivity and higher biotic production in backwaters. During low discharge, phytoplankton and zooplankton made up relatively greater proportions of the observed particles. Concurrently during low discharge, concentrations of chlorophyll, volatile suspended solids, and total phosphorous were higher. Our results suggest that there are complex interactions among space, time, discharge, and other environmental variables (e.g. water nutrients) which drive suspended particle dynamics in large rivers.
DOI: 10.5066/f71c1v3s
title: Valuation of the biopesticide Zequanox&amp;reg; on reproduction and early development of Fathead minnow (Pimephales promelas): Data

description: The goal of the study in which the data were collected to determine the non-target effects of the molluscicide Zequanox on the survival and reproductive success of Fathead minnows in simulated open-water applications. The specific objectives were to evaluate effects of 8-h exposure to 50 mg/L and 100 mg/L AI Zequanox on: 1) survival of adult Fathead minnows, 2) egg deposition, 3) hatchability of eggs, and 4) survival and growth of newly hatched fry.
DOI: 10.5066/f71g0jsp
title: Evaluating upstream passage and timing of approach by adult bigheaded carps at a gated dam on the Illinois River:Data

description: To evaluate how bigheaded carps move upstream through and around Starved Rock Lock and Dam (SRLD) on the Illinois River, their movements were monitored using acoustic telemetry. This dataset describes the results of this study and was used to compare the residency duration of upstream migrants downstream of SRLD between years, tailwater elevation, and water temperature, and how tailwater elevation and water temperature influenced their timing of arrival downstream of SRLD. Calculation of passage and residency are available in the thesis of Matthew Lubejko (Southern, Illinois University, 2016).