Find research datasets worth reusing

Data for: Direct measurement of dynamic attractant gradients reveals breakdown of the Patlak-Keller-Segel chemotaxis model

Chemotactic bacteria not only navigate chemical gradients but also shape their environments by consuming and secreting attractants. Investigating how these processes influence the dynamics of bacterial populations has been challenging because of a lack of experimental methods for measuring spatial profiles of chemoattractants in real-time. Here, we use a fluorescent sensor for aspartate to directly measure bacterially generated chemoattractant gradients during collective migration. Our measurements show that the standard Patlak-Keller-Segel model for collective chemotactic bacterial migration breaks down at high cell densities. To address this, we propose modifications to the model that consider the impact of cell density on bacterial chemotaxis and attractant consumption. With these changes, the model explains our experimental data across all cell densities, offering new insight into chemotactic dynamics. Our findings highlight the significance of considering cell density effects on bacterial behavior and the potential for fluorescent metabolite sensors to shed light on the complex emergent dynamics of bacterial communities.

opencc-by-4.0Dec 2023View details →

Dataset of paper "Predicting the size of silver nanoparticles synthesised in flow reactors: Coupling population balance models with fluid dynamic simulations"

Dataset of paper "Predicting the size of silver nanoparticles synthesised in flow reactors: Coupling population balance models with fluid dynamic simulations"

Cougars, wolves, and humans drive a dynamic landscape of fear for elk

To manage predation risk, prey navigate a dynamic landscape of fear, or spatiotemporal variation in risk perception, reflecting predator distributions, traits, and activity cycles. Prey may seek to reduce risk across this landscape by using habitat at times and in places when predators are less active. In multi-predator landscapes, avoiding one predator could increase vulnerability to another, making the landscape of fear difficult to predict and navigate. Additionally, humans may shape interactions between predators and prey, and induce new sources of risk. Humans can function as a shield, providing a refuge for prey from human-averse carnivores, and as a predator, causing mortality through hunting and vehicle collisions and eliciting a fear response that can exceed that of carnivores. We used telemetry data collected between 2017 and 2021 from 63 GPS-collared elk (Cervus canadensis), 42 cougars (Puma concolor) and 16 wolves (Canis lupus) to examine how elk habitat selection changed in relation to carnivores and humans in northeastern Washington, USA. Using step-selection functions, we evaluated elk habitat use in relation to cougars, wolves, and humans, diel period (daytime vs. nighttime), season (summer calving season vs. fall hunting season), and habitat structure (open vs. closed habitat). The diel cycle was critical to understanding elk movement, allowing elk to reduce encounters with predators where and when they would be the largest threat. Elk strongly avoided cougars at night but had a near neutral response to cougars in the day, whereas elk avoided wolves at all times of day. Elk generally used more open habitat where cougars and wolves were most active, rather than altering use of habitat structure depending on the predator species. Elk avoided humans during the day and ~ 80% of adult female mortality was human caused, suggesting that humans functioned as a "super predator" in this system. Simultaneously, elk leveraged the human shield against wolves but not cougars at night, and no elk were confirmed to have been killed by wolves. Our results add to the mounting evidence that humans profoundly affect predator-prey interactions, highlighting the importance of studying these dynamics in anthropogenic areas.

The Dynamic Assimilation Technique measures photosynthetic CO2 response curves with similar fidelity as steady-state approaches in half the time

The net CO2 assimilation (A) response to intercellular CO2 concentration (Ci) is a fundamental measurement in photosynthesis and plant physiology research. The conventional A/Ci protocols rely on steady-state measurements and take 15-40 minute per measurement, limiting data resolution or biological replication. Additionally, there are several CO2 protocols employed across the literature, without clear consensus as to the optimal protocol or systematic biases in their estimations. We compared the non-steady state Dynamic Assimilation Technique (DAT) protocol and the three most used CO2 protocols in steady-state measurements, and tested whether different CO2 protocols lead to systematic differences in estimations of the biochemical limitations to photosynthesis. The DAT protocol reduced the measurement time by almost half without compromising estimations accuracy or precision. The monotonic protocol was the fastest steady-state method. Estimations of biochemical limitations to photosynthesis were very consistent across all CO2 protocols, with slight differences in ribulose 1·5- bisphosphate carboxylase/oxygenase carboxylation limitation. The A/Ci curves were not affected by the direction of the change of CO2 concentration but rather the time spent under TPU-limited conditions. Our results suggest that maximum rate of ribulose 1·5- bisphosphate carboxylase/oxygenase carboxylation (Vcmax), linear electron flow for NADPH supply (J) and triose phosphate utilization (TPU) measured using different protocols within the literature are comparable, or at least not systematically different based on the measurement protocol used.

Data from: Early diversification dynamics in a highly successful insular plant taxon are consistent with the general dynamic model of oceanic island biogeography

The general dynamic model (GDM) of oceanic island biogeography views oceanic islands predominantly as sinks rather than sources of dispersing lineages. To test this, we conducted a biogeographic analysis of a highly successful insular plant taxon, Cyrtandra and inferred directionality of dispersal and founder events throughout the four biogeographical units of the Indo-Australian Archipelago (IAA), namely Sunda, Wallacea, Philippines, and Sahul. Sunda was recovered as the major source area, followed by Wallacea, a system of oceanic islands. The relatively high number of events originating from Wallacea is attributed to its central location in the IAA and its complex geological history selecting for increased dispersibility. We also tested if diversification dynamics in Cyrtandra follow predictions of adaptive radiation, which is the dominant process as per the GDM. Diversification dynamics of dispersing lineages of Cyrtandra in the Southeast Asian grade showed early bursts followed by a plateau, which is consistent with adaptive radiation. We did not detect signals of diversity-dependent diversification, and this is attributed to Southeast Asian cyrtandras occupying various niche spaces, evident by their wide morphological range in habit and floral characters. The Pacific clade, which arrived at the immaturity phase of the Pacific Islands, showed diversification dynamics predicted by the Island Immaturity Speciation Pulse (IISP) model, wherein rates increase exponentially, and their morphological range is controlled by the least action effect favoring woodiness and fleshy fruits. Our study provides a first step toward a framework for investigating diversification dynamics as predicted by the GDM in highly successful insular taxa.

N-cadherin dynamically regulates pediatric glioma cell migration in complex environments

Pediatric high-grade gliomas are highly invasive and essentially incurable. Glioma cells migrate between neurons and glia, along axon tracts, and through extracellular matrix surrounding blood vessels and underlying the pia. Mechanisms that allow adaptation to such complex environments are poorly understood. N-cadherin is highly expressed in pediatric gliomas and is associated with shorter survival. We found that inter-cellular homotypic N-cadherin interactions differentially regulate glioma migration according to the microenvironment, stimulating migration on cultured neurons or astrocytes but inhibiting invasion into reconstituted or astrocyte-deposited extracellular matrix. N-cadherin localizes to filamentous connections between migrating leader cells but to epithelial-like junctions between followers. Leader cells have more surface and recycling N-cadherin, increased YAP1/TAZ signaling, and increased proliferation relative to followers. YAP1/TAZ signaling is dynamically regulated as leaders and followers change position, leading to altered N-cadherin levels and organization. Together, the results suggest that pediatric glioma cells adapt to different microenvironments by regulating N-cadherin dynamics and cell-cell contacts.

Molecular dynamics dataset for pharmacological repositioning in the treatment of non-small-cell lung cancer

Non-small cell lung cancer (NSCLC) is a type of lung cancer associated with translocation of the EML4 and ALK genes on the short arm of chromosome 2. This leads to the development of an aberrant protein kinase with a deregulated catalytic domain, the cdALK+. Currently, different ALK inhibitors (iALKs) have been proposed to treat ALK+ NSCLC patients. However, the recent resistance to iALKs stimulates the exploration of new iALKs for NSCLC. Here, we describe an in silico approach to finding FDA-approved drugs that can be used by pharmacological repositioning as iALK. We used homology modelling to obtain a structural model of cdALK+ protein and then performed molecular docking and molecular dynamics of the complex cdALK+-iALKs to generate the pharmacophore model. The pharmacophore was used to identify potential iALKs from FDA-approved drugs library by ligand-based virtual screening. Four pharmacophores with different atomistic characteristics were generated, resulting in six drugs that satisfied the proposed atomistic positions and coupled at the ATP-binding site. Mitoxantrone, riboflavin and abacavir exhibit the best interaction energies with 228.29, 165.40 and 133.48 kjoul/mol respectively. In addition, the special literature proposed these drugs for other types of diseases due to pharmacological repositioning. This study proposes FDA-approved drugs with ALK inhibitory characteristics. Moreover, we identified pharmacophores sites that can be tested with other pharmacological libraries.

Data from: Cross ocean-basin population genetic dynamics in a pelagic top predator of high conservation concern, the oceanic whitetip shark, Carcharhinus longimanus

The oceanic whitetip shark, Carcharhinus longimanus, is a Critically Endangered, circumtropical, and highly migratory, pelagic shark. Yet, little information exists on its population genetic dynamics to guide conservation management practice. We present a first worldwide, mitochondrial and nuclear DNA assessment of the population genetic status of this imperiled species based on sequences of the complete mitochondrial control region (n = 173) and partial ND4 gene (n = 172), and genotypes from 12 nuclear microsatellites (n = 164). Statistically significant mitochondrial and nuclear DNA population genetic differentiation was detected across all marker datasets between Western Atlantic and Indo-Pacific oceanic whitetip sharks. Additionally, our data, combined with previously published, partial (701-base pairs) mitochondrial control region sequences from additional locations in the Atlantic and Indian Oceans, confirmed significant matrilineal population structure between the Western and Eastern Atlantic. The combined data also provisionally (i.e., with FST but not ΦST) indicated differentiation between Western North and Central-South Atlantic sharks, pointing to the need for further assessment in this region. Matrilineal differentiation was also detected between Indian and Pacific Ocean sharks via pairwise analyses, albeit with the ND4 gene sequence only (ΦST = 0.051; FST = 0.092). Limited sampling in the Pacific leaves open questions about the connectivity dynamics in this large region. Despite the presence of geographic population genetic structure, the mitochondrial data showed no evidence of across ocean basin phylogeographic lineages. A provisional assessment of mitochondrial and nuclear genetic diversity indicated the oceanic whitetip shark's status falls in the middle to upper ranges compared to other shark species, potentially lending some optimism for the present adaptability and resiliency of this species if strong conservation measures are effectively implemented.

opencc-by-4.0Jan 2024View details →

Dataset from the project entitled HimFunDiff. Related to research article: Global warming alters Himalayan alpine shrub growth dynamics and climate sensitivity.

We examined a total of 9 populations of Rhododendron anthopogon, which were located between 3200 m and 4200 m above sea level (asl). These populations were distributed across three geographically distant transects, with each transect consisting of three sites (along an elevation gradient). The transects are referred to as northern, intermediate, and southern, while the sites at each transect are categorized as low, mid, and high (as depicted in Thakur et al 2024). The northern transect exhibited colder temperatures and lower rainfall compared to the other two transects. On the other hand, the two remaining transects had relatively similar temperatures, but the southernmost transect received higher levels of precipitation. The mean annual temperature of these populations ranged from 2 °C to 5 °C from 2021 through 2022, while volumetric soil moisture levels varied from 0.198 to 0.377 based on onsite measurements using TMS4 dataloggers (Wild et al., 2019). We collected a total of 81 wood disc samples, with 9 samples obtained from each of the 9 sites studied (9 populations × 9 discs). The samples were collected by cutting a single piece from the thickest stem segment, approximately 5 cm in length, from 81 different mature and healthy individuals. Within each site, the 9 samples were obtained from three separate plots (three samples per plot), each covering an area of approximately 100 m2. The selection criteria for these plots included: (1) the presence of Rhododendron anthopogon as one of the dominant species; (2) minimal anthropogenic disturbance; and (3) the absence of large shrubs or trees. The sampled individuals within a plot were spaced at least 5 m apart from each other, and the plots themselves were at least 20 m apart. To prevent rapid drying, the cut stem samples were immediately placed in a wet paper towel. Within 48  hours of sampling, the stem samples underwent dehydration by being immersed in 50 % ethanol for the initial 3 days, followed by 70 % ethanol for the subsequent 7 to 10 days. After the ethanol dehydration process, the samples were air-dried for 72  hours and then stored in paper bags until further processing. Plant age and growth data for each of the sampled individuals were obtained following established protocols (Doležal et al., 2018). In the laboratory, we utilized a sledge microtome to cut cross-sections from each stem sample. These cross-sections were then stained with Astra Blue and Safranin and permanently affixed to microscope slides using Canada Balsam (Doležal et al., 2022). High-resolution images of the fixed sections were captured using an Olympus BX53 microscope equipped with an Olympus DP73 camera. The software CellSense Entry 1.9 was employed to analyse the best image obtained from each individual. We measured annual radial growth increments from pith to bark to the nearest micrometre.  More details are given in the article entitled  <h1>Global warming alters Himalayan alpine shrub growth dynamics and climate sensitivity. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.scitotenv.2024.170252" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.scitotenv.2024.170252</a></h1>

opencc-by-4.0Jan 2024View details →

The dynamical bulk boundary correspondence and dynamical quantum phase transitions in the Benalcazar-Bernevig-Hughes model

Data in the form of mx and dat files for "The dynamical bulk boundary correspondence and dynamical quantum phase transitions in the Benalcazar-Bernevig-Hughes model", T. Masłowski, and N. Sedlmayr Journal of Physics: Condensed Matter 36, 335401 (2024), <a href="https://doi.org/10.1088/1361-648X/ad4a16">https://doi.org/10.1088/1361-648X/ad4a16</a>. Included are data for the return rate (RR), Fisher zeroes, and Loschmidt eigenvalues (MEV). Numbers in parentheses refer to {100m,100m'} and Lx and Ly are the system sizes. Within the return rate files the third column is the derivative of the return rate.

Data from: dammed ponds! a study of post-fire sediment and carbon dynamics in beaver ponds and their contributions to watershed resilience

Beaver ponds were surveyed as part of an effort to quantify post-fire sediment dynamics in beaver ponds. Forty-eight beaver ponds in the northern Colorado Rocky Mountains were surveyed between June and August, 2022. We quantified the current and remaining sediment storage capacities within ponds with sediment depth surveys, and we calculated sedimentation rates by analyzing stratigraphy within pond sediment cores.

opencc-by-4.0Jan 2024View details →

Precision and bias in dynamic light scattering optical coherence tomography measurements of diffusion and flow

This repository contains raw data and analysis routines of the publication “Precision and bias in dynamic light scattering optical coherence tomography measurements of diffusion and flow” in Biomedical Optics Express (doi.org/10.1364/BOE.505847). The reader is free to use the scripts and data in this depository if the manuscript is correctly cited in their work. For further questions, feel free to contact the corresponding author. Python 3.7 was used for programming. Kindly note that simulating autocorrelation functions from extensive time series data, especially with a high repetition rate, can be time-consuming, often requiring more than 5-10 minutes. Despite parallelized processing routines for the measurement data, the full analysis may still take up to an hour. Please restart the kernel and run the code again if the parallelization fails. For the diffusion measurement under static conditions, there is only one file. However, for experiments involving both flowing and diffusing particles, the dataset comprises diffusion calibration, focus (beam shape) calibration, and flow measurement files. Due to the upload size limitations of the Zenodo repository, only the flow measurements corresponding to one discharge rate have been uploaded. Furthermore, only the non-dilute flow dataset has been uploaded for the same reason. However, for the dilute flow, the analysis logic remains the same, but users will need to utilize the complete g2 formula outlined in Section 2.2 of our article. All file names are sufficiently descriptive, showing whether it is diffusion, focus (waist) calibration or flow measurement. To conduct the analysis, it's essential to have information regarding the time series length (number of A-scans), the number of repeats (B-scans), and the acquisition rate. The results are plotted at the end of our analysis routines. The parameters are displayed as a function of depth. Users can readily compute the Signal-to-Noise Ratio (SNR) at each depth by utilizing the fitted autocorrelation amplitudes. Occasionally, the fitted amplitudes may surpass unity. In such instances, users can assume an extremely high (even infinite) SNR. <div> <table> <tbody> <tr> <td> Name </td> <td> Description </td> <td> Parameters </td> </tr> <tr> <td> Diffusion_03032023.oct </td> <td> Diffusion measurement file. </td> <td> Na=4096, Nb=1100, 5.5 kHz </td> </tr> <tr> <td> Diffusion_07032023.oct </td> <td> Diffusion calibration file for flow measurement. </td> <td> Na=4096, Nb=10, 36 kHz </td> </tr> <tr> <td> Waist_07032023.oct </td> <td> Beam waist calibration file for flow measurement. </td> <td> Na=4096, Nb=40, 36 kHz </td> </tr> <tr> <td> Q=2_07032023.oct </td> <td> Flow measurement file for a discharge rate of 2 ml/min. </td> <td> Na=4096, Nb=1000, 36 kHz </td> </tr> <tr> <td> Chirp.data </td> <td> File containing k-interpolation data. </td> <td>   </td> </tr> <tr> <td> ReadOCTFile.py </td> <td> Written by Jos de Wit, this module reads and imports spectra from raw OCT files. </td> <td>   </td> </tr> <tr> <td> Data_processing.py </td> <td> This module contains all analysis, simulation and processing routines. </td> <td>   </td> </tr> <tr> <td> Simulation_diffusion.py </td> <td> This script is for simulating and fitting g1 and g2 from diffusive particles. </td> <td>   </td> </tr> <tr> <td> Simulation_flow.py </td> <td> This script is for simulating and fitting g1 and g2 from flowing and diffusive particles. </td> <td>   </td> </tr> <tr> <td> Diffusion_parallel.py </td> <td> This script is for analyzing static diffusion measurements performed using Thorlabs Ganymede OCT system. </td> <td>   </td> </tr> <tr> <td> Flow_parallel.py </td> <td> This script is for analyzing flow measurements performed using Thorlabs Ganymede OCT system. </td> <td>   </td> </tr> </tbody> </table> </div>

Data and code from: Accounting for unobserved population dynamics and aging error in close-kin mark-recapture assessments

Obtaining robust estimates of population abundance is a central challenge hindering the conservation and management of many threatened and exploited species. Close-kin mark-recapture (CKMR) is a genetics-based approach that has strong potential to improve monitoring of data-limited species by enabling estimates of abundance, survival, and other parameters for populations that are challenging to assess. However, CKMR models have received limited sensitivity testing under realistic population dynamics and sampling scenarios, impeding application of the method in population monitoring programs and stock assessments. Here, we use individual-based simulation to examine how unmodeled population dynamics and aging uncertainty affect the accuracy and precision of CKMR parameter estimates under different sampling strategies. We then present adapted models that correct the biases that arise from model misspecification. Our results demonstrate that a simple base-case CKMR model produces robust estimates of population abundance with stable populations that breed annually; however, if a population trend or non-annual breeding dynamics are present, or if year-specific estimates of abundance are desired, a more complex CKMR model must be constructed. In addition, we show that CKMR can generate reliable abundance estimates for adults from a variety of sampling strategies, including juvenile-focused sampling where adults are never directly observed (and aging error is minimal). Finally, we apply a CKMR model that has been adapted for population growth and intermittent breeding to two decades of genetic data from juvenile lemon sharks (Negaprion brevirostris) in Bimini, Bahamas, to demonstrate how application of CKMR to samples drawn solely from juveniles can contribute to monitoring efforts for highly mobile populations. Overall, this study expands our understanding of the biological factors and sampling decisions that cause bias in CKMR models, identifies key areas for future inquiry, and provides recommendations that can aid biologists in planning and implementing an effective CKMR study, particularly for long-lived data-limited species.

Data from: Distribution, population dynamics and potential impacts of the invasive snail, Tarebia granifera in aquatic ecosystems of north-eastern South Africa

Aquatic ecosystems globally have been invaded by molluscs. Tarebia granifera is a highly successful invader, often becoming the dominant aquatic invertebrate species in an invaded ecosystem. Resultingly, it has been suggested that T. granifera may have severe negative impacts on these invaded ecosystems. Limited information is available regarding the population structures and densities of T. granifera, particularly in invaded countries such as South Africa, and information on this could assist in developing management and control strategies for this invasive species. The aim of the present study was to assess the current distribution, densities, and population structures of T. granifera in invaded habitats on the Limpopo and Phongolo River systems, South Africa. This was accomplished by collecting aquatic benthic molluscs from sites across these systems. Water quality parameters were measured at each site and water samples collected for chemical nutrient analyses. The density of snails was determined for each site and the population size and structure as well as birth rate was calculated for T. granifera. Tarebia granifera was found to be the dominant molluscan species in habitats where it was present and all size classes from new-born to mature adults were found throughout at some of the highest densities globally. Worryingly, native molluscan species, were often absent or in much lower densities than reported in literature at sites where T. granifera was present, suggesting a negative effect on the native molluscan density and diversity. Contrary to most previous studies, there were no significant correlations between T. granifera and the selected water quality parameters. Higher densities and new-born recruitment of T. granifera were observed in the spring than autumn, likely in response to shifts in environmental conditions. This study provides crucial insights into the population structure and dynamics of T. granifera in invaded habitats, particularly for relatively newly invaded regions such as southern Africa.

opencc-by-4.0Feb 2024View details →

Data set related to the manuscript "Dynamics and energetics of ion adsorption at the interface between a pure ionic liquid and carbon electrodes"

Text files with data for plotting figures in the quoted manuscript. Example input files for simulations.

Data from: Dynamic models for impact-initiated stress waves through snow columns

The objective of this research is to model snow's response to dynamic, impact loading. Two constitutive relationships are considered: elastic and Maxwell-viscoelastic. These material models are applied to laboratory experiments consisting of 1000 individual impacts across 22 snow column configurations. The columns are 60 cm tall with a 30 cm by 30 cm cross-section. The snow ranges in density from 135-428 kg m-3 and is loaded with both short-duration (~1 ms) and long-duration (~10 ms) impacts. The Maxwell-viscoelastic model more accurately describes snow's response because it contains a mechanism for energy dissipation, which the elastic model does not. Furthermore, the ascertained model parameters show a clear dependence on impact duration; shorter duration impacts resulted in higher wave speeds and greater damping coefficients. The stress wave's magnitude is amplified when it hits a stiffer material because of the positive interference between incident and reflected waves. This phenomenon is observed in the laboratory and modeled with the governing equations.

Synthetic eco-evolutionary dynamics in simple molecular environment

The understanding of eco-evolutionary dynamics, and in particular the mechanism of emergence of species, is still fragmentary and in need of test bench model systems. To this aim, we developed a variant of SELEX in-vitro selection to study the evolution of a population of ∼ 10^15 single-strand DNA oligonucleotide 'individuals'. We begin with a seed of random sequences which we select via affinity capture from ∼ 10^12 DNA oligomers of fixed sequence ('resources') over which they compete. At each cycle ('generation'), the ecosystem is replenished via PCR amplification of survivors. Massive parallel sequencing indicates that across generations the variety of sequences ('species') drastically decreases, while some of them become populous and dominate the ecosystem. The simplicity of our approach, in which survival is granted by hybridization, enables a quantitative investigation of fitness through a statistical analysis of binding energies. We find that the strength of individual-resource binding dominates the selection in the first generations, while inter and intra-individual interactions becomes important in later stages, in parallel with the emergence of prototypical forms of mutualism and parasitism.

opencc-by-4.0Feb 2024View details →

All-atom molecular dynamics simulations of incomplete ATP synthase rotor rings with unusually high stoichiometry predicted by the AlphaFold2-based method

The trajectories of all-atom MD simulations of AlphaFold2 4, 11, 16 or 18-mer structures of the subunit c from Candidatus Kryptonium thompsoni (CKt_Nmer_lipid_mix_CHM36m_303K_500ns) and Thalassoglobus polymorphus (Tp_Nmer_lipid_mix_CHM36m_303K_500ns), and AlphaFold2 11-mer structure of the subunit c from Spinacia oleracea (So_11mer-c20_POPC_CHM36m_303K_300ns) in a lipid bilayer. Simulations have been performed using the CHARMM36m force field, running with the GROMACS 2022 package.

opencc-by-4.0Feb 2024View details →

Silicon photomultiplier (SiPM) dynamic response and dark count vs temperature correlation

Project FleX-RAY employed photon counting capable sensors in order to capture light that was generated by the scintillation phenomenon, in plastic scintillating fibres. These special photodiodes are called Silicon Photomultipliers, or SiPMs. In order to determine the suitability and performance of different SiPM models available in the market, we carried out a series of tests to :  <ol> <li>Evaluate the correlation of dark count rate against temperature and</li> <li>Compare the amplitude response of the actual devices when excited by a 50 picosecond light pulse.</li> </ol> <ul> <li>The data of series 1 are tabulated in the spreadsheet titled "darkCountVsTemp.xlsx".</li> <li>The data of series 2 are arranged in separate "zip" archives, each titled by the device model under test. These zip archives are within a master zip file titled "SiPM_laser_pulse_response.zip".</li> </ul> Test equipment and set-up: Devices under test: Hamamatsu models S13360-1375, S13360-3075 and ON-Semi models microFC-10020, microFC-10035  Measurement device(s)/board(s): To excite SiPMs, we used picosecond pulse laser type PLDD-100k-OEM from Alphalas. To record raw pulse output of SiPMs we used oscilloscope Tektronix DPO7104. To record the darkcount rate of SiPMs we used oscillsocope Keysight DSOX1204G. A custom, 3D-printed light-tight box was used to shield the SiPMs from ambient light.   This work was financed by the European Union's Horizon 2020 program under grant agreement No. 899634.