Find research datasets worth reusing

opencc-by-4.0Dec 2020View details →

Water availability and temperature scenarios for water-dependent power plants in the Danube river basin and the Iberian Peninsula

The dataset is composed by 12 files reporting the water availability and temperature scenarios for 167 water-dependent power plants in the Danube river basin and the Iberian Peninsula. The dataset is split into multiple files by region (Danube river basin (Danube) or Iberian Peninsula (IP)), variable (discharge or river temperature) and scenario (baseline, RCP26 or RCP85) considered. The title of each file is composed by the variable reported (discharge or river temperature) and the scenario considered (baseline: 1951-2004, RCP26: 2006-2100, RCP85: 2006-2100). The first row is used to report the fields considered: the first three columns report the day, the month and the year. The remaining columns report the name of the power plant considered in each region (57 for the Daube river basin and 110 for the Iberian Peninsula). In each row day, month, year and streamflow or river temperature values are reported for every water-dependent power plant examined in the study. Temperature is reported as daily average temperature in degrees Celsius (°C) while water availability is reported as daily average streamflow in cubic meters per second (m^3/s). For a description on how these files were obtained, please refer to <a href="https://doi.org/10.2777/135510">https://doi.org/10.2777/135510</a>.

opencc-by-4.0Apr 2024View details →

CO2-dependence of Longwave Clear-sky Feedback is sensitive to Temperature [Dataset]

These data are simulated from PyRads (https://github.com/danielkoll/PyRAD) and are used to plot figures in our study.

opencc-by-4.0Aug 2022View details →

Temperature-dependent Lamb wave signals in highly anisotropic CFRP

The dataset contains signals of propagating Lamb waves in highly anisotropic carbon fibre reinforced polymer (CFRP). The reinforcement is unidirectional along 0 deg. A detailed description of the material and its parameters is given in [1]. The arrangement of piezoelectric actuator A and sensors S1-S7 is shown in figure "plate_angular_pzt_arrangement_50x50.png". Sensors are placed at propagation angles from 0 deg to 90 deg with a step of 15 deg. It should be noted that two piezoelectric transducers bonded to both sides of the plate were used as the actuator. It allowed for exciting Lamb waves with dominant A0 and S0 modes, respectively. Hence, there are two respective zip files with data. The following parameters were used during measurements: <ul> <li>Temperatures: T=[50,40,30,20,10,0,-10,-20,-30,-40,-50];</li> <li>Number of cycles in Hann windowed signals: no_of_cycles=[2,2.5,3];</li> <li>Carrier frequencies of excitation signals [kHz]: frequencies=[20:10:250];</li> <li>Number of averages: 50;</li> <li>Sampling frequency: 10 MHz.</li> </ul> The following equipment was used in the experiment: <ul> <li>Environmental chamber by Angelantoni Test Technologies, model MyDiscovery 600 C;</li> <li>National Instruments waveform generator PXIe-5413;</li> <li>Krohn-Hite voltage amplifier model 7500;</li> <li>Cedrat Technologies LWDS amplifier (used as a charge amplifier);</li> <li>National Instruments oscilloscope PXIe-5105.</li> </ul> Files in CSV format contain environmental chamber data (temperature programme, actual temperature and humidity over time, etc.). This can be read and plotted in Matlab by running the script “Read_plot_environmental_chamber.m”. There is another file “Read_plot_environmental_chamber_plus_DS18B20_RH20_KROHN_A0.m” in which temperature was registered also by DS18B20 digital sensor. It loops over all measurements so that it can be used also for reading signals from “niscope_avg_waveform.mat” in respective subfolders. In particular, sensor signals are stored in the “niscope_avg_waveform” variable, a matrix of dimensions 8192x7.

opencc-by-4.0Jan 2024View details →

Data and code for figures: Temperature dependence of microwave losses in lumped-element resonators made from superconducting nanowires with high kinetic inductance

This directory contains the datasets and code (if applicable) for generating the figures in the research article: Temperature dependence of microwave losses in lumped-element resonators made from superconducting nanowires with high kinetic inductance, Supercond. Sci. Technol. 37 075013

Concentration-, Temperature- and Solvent-Dependent Self-Assembly: Merocyanine Dimerization as a Showcase Example for Obtaining Reliable Thermodynamic Data

Abstract: Mathematical models for the concentration-, temperature- and solvent-dependent analysis of self-assembly equilibria are derived for the most simple case of dimer formation, to highlight the assumptions these models and the thus determined thermodynamic parameters are based on. The three models were applied to UV/Vis absorption data for the dimerization of a highly dipolar merocyanine dye in 1,4-dioxane. Isothermal titration calorimetry (ITC) dilution experiments were performed as an independent reference technique. While the concentration-dependent analysis is according to our studies the most reliable method, also the less time-consuming temperature-dependent evaluation can give accurate results in the present example, despite small thermochromic effects. In contrast, the strong negative solvatochromism of the merocyanine tampers with the results from the solvent-dependent evaluation. Even though the studies presented in this work are limited to the monomer-dimer equilibrium of a dipolar dye, the basic principles can be transferred to other chromophores and different self-assembly models, including those for supramolecular polymerization.

opencc-by-4.0Dec 2022View details →

Temperature-Dependent THz Properties and Emission of Organic Crystal BNA

This dataset is accompanying the paper "Temperature-Dependent THz Properties and Emission of Organic Crystal BNA" General data acquisition: The data was acquired with a modified Menlo Tera K-15 THz-TDS, consisting of a photoconductive emitter/receiver and four off-axis-parabolic mirrors (OAP). The second and third OAP, focusing and collecting the THz, are with a longer focus length to have enough space for the cryostat (Janis ST-100), which is equipped with 3 mm z-cut quartz windows for entry and exit of the THz beam. The delay line offers delays up to 1600 ps but the range was restricted to cut out the reflections from the z-cut quartz windows. Instead of averaging with Menlo’s own software ScanControl, each single trace is read out. 10 000 traces are saved for each unique measurement condition (crystal orientation, temperature) and saved in a single HDF-5 file. HDF-5 is an efficient (binary), cross-platform data format and can be read easily by i.e. Python or Matlab.   The structure is as follows: raw_data The folder raw_data contains four folders. The folder “dark” contains a single file since this is independent of crystal orientation and temperature of the cryostat. For this measurement, the THz beam was blocked but all electronics, selected delay range etc. kept the same, to measure the noise-floor of the system. The folder reference was captured with the cryostat incl. windows, vacuum and crystal holder in place. Even though there should be no change in the transfer function by changing the temperature (due to the large aperture of the crystal holder), we still recorded reference traces for each temperature. The folder “BNA_orientation_001” contains the data with the organic crystal BNA in vertical orientation (<001>). The folder “BNA_orientation_100” contains the data with the organic crystal BNA in horizontal orientation (<100>). averaged_corrected_data The folder “averaged_corrected_data” reduces the large amount of raw data due to averaging. The program “Correct@TDS” (developed in the group of Dr. Romain Peretti, Terahertz Photonics Group @ IEMN - CNRS (UMR 8520), publication in preparation), is used to fit specific correction parameters for the delay, dilatation, amplitude noise and periodic sampling. The mean data is saved for each temperature in a text file called “mean.txt”. The other output of “Correct@TDS” is diagnostic information about the correction parameters and about the standard deviation in frequency- and time-domain. extracted_n_alpha The folder “extracted_n_alpha” contains the refractive index, absorption coefficient and more in a single HDF-5 file, extracted by the program phoeniks (<a href="https://github.com/TimVog/phoeniks">https://github.com/TimVog/phoeniks</a>), which is developed in our group. All results for the paper are saved in the internal folder structure of the HDF-5 file (for crystal orientation and temperature). The folder “nelly” shows the extraction of n and alpha done with Nelly [1] (<a href="https://github.com/YaleTHz/nelly">https://github.com/YaleTHz/nelly</a>) for the vertical orientation, which was used for the supplementary document.   [1] Nelly: A User-Friendly and Open-Source Implementation of Tree-Based Complex Refractive Index Analysis for Terahertz Spectroscopy Uriel Tayvah, Jacob A. Spies, Jens Neu, and Charles A. Schmuttenmaer Analytical Chemistry 2021 93 (32), 11243-11250 DOI: 10.1021/acs.analchem.1c02132

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Carbon quality regulates the temperature dependence of aquatic ecosystem respiration

Lakes are undergoing a variety of changes that may alter their role in the global carbon cycle. Lake temperatures are increasing at the same time that lakes in many regions are experiencing long-term increases in dissolved organic carbon (DOC) concentrations. The balance between rates of ecosystem respiration (ER) and gross primary production (GPP) is an important determinant of CO2 outgassing from lakes and thus it is important to understand factors regulating ER rates in these systems. Temperature is known to regulate rates of ER, but other factors have the potential to modulate this relationship. One such regulator may be the quality of the dissolved organic matter (DOM) in the system. Theory suggests that ER may increase more with temperature in lakes dominated by allochthonous, refractory material than in systems dominated by more autochthonous DOM. To test this theory, we conducted a mesocosm study where half of the mesocosms received water from a naturally occurring autochthonous DOM source and the other half from an allochthonous DOM source. We monitored water temperature and dissolved oxygen concentrations in each mesocosm using in-situ high frequency DO sensors. After 27 days we used this data to calculate daily ER for each mesocosm. We then related daily ER to mean nighttime temperature and tested whether the relationship was different in the two DOM treatments. Treatments dominated by allochthonous DOM had a greater temperature dependence of respiration than those dominated by autochthonous DOM. These results suggest that as lake temperatures continue to increase, ER will increase more in lakes dominated by allochthonous DOM than those dominated by autochthonous DOM.

openCC (other)May 2018View details →

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Data from: Temperature dependent effects of cutaneous bacteria on a frog's tolerance of fungal infection

Defense against pathogens is one of many benefits that bacteria provide to animal hosts. A clearer understanding of how changes in the environment affect the interactions between animals and their microbial benefactors is needed in order to predict the impact and dynamics of emerging animal diseases. Due to its dramatic effects on the physiology of animals and their pathogens, temperature may be a key variable modulating the level of protection that beneficial bacteria provide to their animal hosts. Here we investigate how temperature and the makeup of the skin microbial community impact the susceptibility of amphibian hosts to infection by Batrachochytrium dendrobatidis, one of two fungal pathogens known to cause the disease chytridiomycosis. To do this, we manipulated the skin bacterial communities of susceptible hosts, northern cricket frogs (Acris crepitans), prior to exposing these animals to Batrachochytrium dendrobatidis under two different ecologically relevant temperatures. Our manipulations included one treatment where antibiotics were used to reduce the skin bacterial community, one where the bacterial community was augmented with the antifungal bacterium, Stenotrophomonas maltophilia, and one in which the frog's skin bacterial community was left intact. We predicted that frogs with reduced skin bacterial communities would be more susceptible (i.e., less resistant to and/or tolerant of Bd infection), and frogs with skin bacterial communities augmented with the known antifungal bacterium would be less susceptible to Bd infection and chytridiomycosis. However, we also predicted that this interaction would be temperature-dependent. We found a strong effect of temperature but not of skin microbial treatment on the probability and intensity of infection in Bd-exposed frogs. Whether temperature impacted survival, however, differed among our skin microbial treatment groups, with animals having more S. maltophilia on their skin surviving longer at 14 but not at 26 °C. Our results suggest that temperature was the predominant factor influencing Bd's ability to colonize the host (i.e., resistance) but that the composition of the cutaneous bacterial community was important in modulating the host's ability to survive (i.e., tolerate) a heavy Bd infection.

opencc-zeroDec 2017View details →

opencc-by-4.0Dec 2023View details →

Data for "Temperature dependence of charge conversion during NV-center relaxometry in nanodiamond"

In this Zenodo repository, the data as plotted in "Temperature dependence of charge conversion during NV-center relaxometry in nanodiamond" is uploaded. The file consists of folders named after the figures in the manuscript, where each folder contains csv files and a readme file in which additional information can be found. If a fit function is plotted in a figure, the fit data is also given in a csv file.

opencc-by-4.0Dec 2018View details →

Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. Fig. 5. Dependence of start of spawning of the Japanese scallop and Pacific (giant) oyster in Peter the Great Bay on the sum of sea surface temperatures (March–June): 1 – beginning of spawning of the Japanese scallop; 2 – beginning of spawning of the Pacific oyster; 3 – sum of sea surface temperatures for the period from March to June. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. Fig. 5. Dependence of start of spawning of the Japanese scallop and Pacific (giant) oyster in Peter the Great Bay on the sum of sea surface temperatures (March–June): 1 – beginning of spawning of the Japanese scallop; 2 – beginning of spawning of the Pacific oyster; 3 – sum of sea surface temperatures for the period from March to June.

BAM reference data: Temperature-dependent Young's and shear modulus data for additively and conventionally manufactured variants of Ni-based alloy Inconel IN718

This BAM reference dataset reports the elastic properties (Young's modulus, shear modulus) of Ni-based alloy Inconel IN718 between room temperature and 800 °C in an additively manufactured variant (laser powder bed fusion, PBF‑LB/M) and from a conventional process route (hot rolled bar). It was generated in an accredited test laboratory using calibrated measuring equipment. The calibrations meet the requirements of the test procedure and are metrologically traceable. The dataset was audited as BAM reference data.

BAM reference data: Temperature-dependent Young's and shear modulus data for additively and conventionally manufactured variants of Ti-6Al-4V

This BAM reference dataset reports the elastic properties (Young's modulus, shear modulus) of titanium alloy Ti-6Al-4V between room temperature and 400 °C in an additively manufactured variant (laser-based directed energy deposition with powder as feedstock, DED-LB/M) and from a conventional process route (hot rolled bar). It was generated in an accredited test laboratory using calibrated measuring equipment. The calibrations meet the requirements of the test procedure and are metrologically traceable. The dataset was audited as BAM reference data.

BAM reference data: Temperature-dependent Young's and shear modulus data for additively and conventionally manufactured variants of austenitic stainless steel AISI 316L

This BAM reference dataset reports the elastic properties (Young's modulus, shear modulus) of austenitic stainless steel AISI 316L between room temperature and 900 °C in an additively manufactured variant (laser powder bed fusion, PBF‑LB/M) and from a conventional process route (hot rolled sheet). It was generated in an accredited test laboratory using calibrated measuring equipment. The calibrations meet the requirements of the test procedure and are metrologically traceable. The dataset was audited as BAM reference data.

opencc-by-4.0Sep 2022View details →

Data set for "The ion-ion recombination coefficient α: comparison of temperature- and pressure-dependent parameterisations for the troposphere and stratosphere"

The uploaded data are related to the publication "The ion–ion recombination coefficient \(\alpha\): comparison of temperature- and pressure-dependent parameterisations for the troposphere and stratosphere" in Atmospheric Chemistry and Physics (ACP). The data are the same as shown in the figures of the publication. The naming of the uploaded files indicates the figure (e.g., "Fig_2" indicates Figure 2 of the publication).

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Temperature-dependent evolutionary speed shapes the evolution of biodiversity patterns across tetrapod radiations

Biodiversity varies predictably with environmental energy around the globe, but the underlying mechanisms remain incompletely understood. The evolutionary speed hypothesis predicts that environmental energy shapes variation in speciation rates through temperature- or life history-dependent rates of evolution. To test whether variation in evolutionary speed can explain the relationship between energy and biodiversity in birds, mammals, amphibians, and reptiles, we simulated diversification over 65 million years of geological and climatic change with a spatially explicit eco-evolutionary simulation model. We modeled four distinct evolutionary scenarios in which speciation-completion rates were dependent on temperature (M1), life history (M2), temperature and life history (M3), or were independent of temperature and life-history (M0). To assess the agreement between simulated and empirical data, we performed model selection by fitting supervised machine learning models to multidimensional biodiversity patterns. We show that a model with temperature-dependent rates of speciation (M1) consistently had the strongest support. In contrast to statistical inferences, which showed no general relationships between temperature and speciation rates in tetrapods, we demonstrate how process-based modeling can disentangle the causes behind empirical biodiversity patterns. Our study highlights how environmental energy has played a fundamental role in the evolution of biodiversity over deep time.

opencc-zeroSep 2022View details →

Fig. 2 in Temperature Dependence Of The Breeding Parametres Of The Collared Flycatcher (Passeriformes, Muscicapidae) In The National Park Homilshanski Lisy (Ne Ukraine)

Fig. 2. First spring records and first-egg day of Collared Flycatcher at investigation plots in 2006–2017.

Fig. 5 in Temperature Dependence Of The Breeding Parametres Of The Collared Flycatcher (Passeriformes, Muscicapidae) In The National Park Homilshanski Lisy (Ne Ukraine)

Fig. 5. Model-averaged coefficients of the predictor variables from the subset of best-fitting models for the clutch size (eggs).

Fig. 1 in Temperature Dependence Of The Breeding Parametres Of The Collared Flycatcher (Passeriformes, Muscicapidae) In The National Park Homilshanski Lisy (Ne Ukraine)

Fig. 1. Map of boundaries of the Collared Flycatcher subpopulation study area (Keller et al., 2020).

Fig. 3 in Temperature Dependence Of The Breeding Parametres Of The Collared Flycatcher (Passeriformes, Muscicapidae) In The National Park Homilshanski Lisy (Ne Ukraine)

Fig. 3. Model-averaged importance of the predictor variables from the subset of best-fitting models for the first egg date (FED).