Find research datasets worth reusing

opencc-by-4.0Oct 2021View details →

Synthetic onedrive trace file

A synthetic trace file generated from OneDrive flows properties plus 30% of added junk packets and mice flows. We only care about inter-arrival of packets; hence, the rest of variables and properties are anonymized with random data (e.g., Ip, port numbers, packets content, and etc.) To replay trace files you need to use <a href="https://github.com/tbarbette/fastclick">fastclick</a> (More specifically, <a href="https://github.com/tbarbette/fastclick/wiki/FromIPSummaryDump">FromIPSummaryDump</a> element).

opencc-by-4.0Dec 2018View details →

Tracing the imprint of river runoff on Arctic water mass transformation [dataset]

This dataset contains the underlying data for the manuscript Lambert et al., Tracing the imprint of river runoff variability on Arctic water mass transformation, submitted to JGR-Oceans ----------------------------------- Both files contain variables with the general notation: S..., which are the cumulative salt fluxes; S..2, which are the salinity-transformation fluxes; T..., which are the cumulative heat fluxes; and T..2, which are the temperature-transformation fluxes. ----------------------------------- In the file crfdata.nc, the variable names contain: slrx: surface salinity restoring term emp: evaporation-precipitation, small en neglected in the manuscript rnf: river runoff ice: ice melt brnx: brine rejection including the penetration into subsurface layers qns: nonsolar surface heat flux qswx: heat flux due to shortwave radiation including the penetration into subsurface layers fsiso/ftiso: isopycnal diffusion of salt/heat fsdia/ftdia: diapycnal diffusion of salt/heat sec: advection across the collective Arctic gateways Each variable is of size [4,12,nS] or [4,12,nT] where nS is the number of salinity bins, equal to the length of variable S                                                       and nT is the number of temperature bins, equal to the length of variable T The first dimension is ordered as follows: 0: delta_s, the equilibrium response to a 30% increase in total Arctic river runoff 1: tau_s, the e-folding time scale of this response in months 2: std, the standard deviation of the control value 3: ctrl, the average control value The second dimension indicates the calendar month ----------------------------------------- In the file pp2.nc, the variable names contain: slrx: surface salinity restoring term rnf: river runoff ice: ice melt brnx: brine rejection including the penetration into subsurface layers qns: nonsolar surface heat flux qswx: heat flux due to shortwave radiation including the penetration into subsurface layers adv: advection across the collective Arctic gateways dif: total isopycnal + diapyncal diffusion Each variable is of size [2,nS] or [2,nT] The first dimension is: 0: explained model variance between 0 and 1 1: explained model variance where correlations with p>.05 equal NaN

dryad36/100

Tracing pathways from high-resolution tractography, transcription, and temporal dimensions

The neural circuits supporting human cognition are topics of enduring interest. The lack of tools available to map circuits has precluded our ability to trace the evolution of the human connectome. We harnessed high-resolution connectomic, anatomic, and transcriptomic data to develop enhanced tools to test for modifications in developmental programs across species. We found corresponding ages across species and transcriptionally define neurons with stereotypical projections in humans and macaques. We used these data to test for modifications in frontal cortex circuit. Frontal cortex circuitry development is extended in primates, which is concomitant with an expansion in cortico-cortical pathways compared with mice in adulthood. These parameters varied little across humans and macaques. We identify a collection of conserved features in frontal cortex circuits in studied primates. We demonstrate that the integration of transcriptional and connectomic data across temporal dimensions is a robust approach to trace the evolution of connections in primates. This dataset contains scripts as well as diffusion MR scans of mouse brains.

opencc-zeroDec 2022View details →

dryad36/100

Normative behavioral data from the novel One Trail Trace escape reaction task (OTTER)

We designed a behavioral task where rats learn to associate two temporally distinct but close-in-time events by means of incidental one-trial learning. The task takes advantage of two competing motivations - to avoid light places and to avoid painful stimuli (foot shock) predicted by an acoustic signal. Motivation to avoid a bright light is constant throughout the experiment and is manifested by rats preferring a dark compartment in a light/dark shuttle box. Motivation to stay in the dark is overridden (1) during the training session: when foot-shock (US) (preceded by the acoustic stimulus (CS)) is presented; and (2) during the testing session: when CS, that predicts US, is presented. The latter case occurs when rats successfully form an association between CS and US in the training session and the rat escapes into the light compartment ('responders'). The rats that do not escape ('non-responders' appear to lack this memory as even non-specific fear response (freezing) was absent. Generally, >50% of rats escape into the lit compartments following CS on the testing day. Importantly, rats do not show a contextual association measured by freezing behavior and preference for a light compartment on the testing day. Moreover, we observed that several putative details in the setup affect the probability of the successful formation of a one-trial trace association. Compared to similar tasks, the OTTER task tests incidental learning with no requirement for pre-training. Moreover, the memory formed in the OTTER task consists of two events that do not overlap in time: a characteristic of many episodic memories. The OTTER task presents high-throughput means to study neuronal substrates of incidental temporal binding.

opencc-zeroDec 2022View details →

opencc-by-4.0Dec 2022View details →

Major and trace element composition of IODP Site U1429 and Yellow River sediments and simulated rainfall changes in East-Southeast Asia during past 300 ka

This dataset includes major and trace element composition of IODP Site U1429 and Yellow River surface sediments. They are all analyzed based on the clay-sized fractions. It also includes the data of simulated rainfall changes in the northern and southern China, as well as in Southeast Asia during past 300 ka.

dryad36/100

Data from: Whiskers provide time-series of toxic and essential trace elements, Se:Hg molar ratios, and stable isotope values of an apex Antarctic predator, the leopard seal

In an era of rapid environmental change and increasing human presence, researchers need efficient tools for tracking contaminants to monitor the health of Antarctic flora and fauna. Here, we examined the utility of leopard seal whiskers as a biomonitoring tool that reconstructs time-series of significant ecological and physiological biomarkers. Leopard seals (Hydrurga leptonyx) are a sentinel species in the Western Antarctic Peninsula due to their apex predator status and top-down effects on several Antarctic species. However, there are few data on their contaminant loads. We analyzed leopard seal whiskers (n = 18 individuals, n = 981 segments) collected during 2018–2019 field seasons to acquire longitudinal profiles of non-essential (Hg, Pb, and Cd) and essential (Se, Cu, and Zn) trace elements, stable isotope (ẟ15N and ẟ13C) values and to assess Hg risk with Se:Hg molar ratios. Whiskers provided between 46 and 286 cumulative days of growth with a mean ~125 days per whisker (n = 18). Adult whiskers showed variability in non-essential trace elements over time that could partly be explained by changes in diet. Whisker Hg levels were insufficient (<20 ppm) to consider most seals being at "high" risk for Hg toxicity. Nevertheless, maximum Hg concentrations observed in this study were greater than that of leopard seal hair measured two decades ago. However, variation in the Se:Hg molar ratios over time suggest that Se may detoxify Hg burden in leopard seals. Overall, we provide evidence that the analysis of leopard seal whiskers allows for the reconstruction of time-series ecological and physiological data and can be valuable for opportunistically monitoring the health of the leopard seal population and their Antarctic ecosystem during climate change.

opencc-zeroDec 2022View details →

opencc-by-4.0Jan 2023View details →

Baseline concentrations, spatial distribution and origin of trace elements in marine surface sediments of the northern Antarctic Peninsula

Supplementary data to article published in Marine Pollution Bulletin 187 (2023) 114501: https://doi. org/10.1016/j.marpolbul.2022.114501

AALTO - Power Angular Measurements and Ray Tracing Simulations at Sub-THz Frequencies in Corridor - DATA

The data set includes simulation results from radio propagation modelling of TERAWAY links (at 90, 95 and 100 GHz) in realistic university corridor environment. The modelling is performed using a Ray Tracing Tool developed in MATLAB environment at Aalto University. Ray tracing technique used in this tool is based on Image Theory (IT) algorithm. Unlike a quasi three-dimensional environment, it supports ray tracing in full three dimension. This data set contains propagation modelling results of the TERAWAY link. Output data includes (but is not limited to): Multipath component IDs, Path Distance (meter), Angle of Arrival AoA (degree), Angle of Departure AoD (degree), Direction of Arrival DoA (degree), Direction of Departure DoD (degree), E-Field (Volt/meter), H-Field (Ampere/meter), Phase (Radians), Power (Watts), Number of reflections a path experienced, Number of diffractions a path experienced, information that is it ground reflected path or not,  Receiver location (x and y coordinates), information that is it rooftop path or not.

AALTO - Channel Characterization at Sub-THz Band with Measurements and Ray Tracing in Indoor Case - DATA

opencc-by-4.0Feb 2023View details →

Figures and Data Set of "The Effelsberg survey of FU Orionis and EX Lupi objects I. - Host environments of FUors/EXors traced by NH3"

This is the full version of Figure 1 and the fits files for the NH3 detections for the paper "The Effelsberg survey of FU Orionis and EX Lupi objects I. - Host environments of FUors/EXors traced by NH3". The paper is published in Astronomy & Astrophysics, and can be found at: <a href="https://doi.org/10.1051/0004-6361/202244911">https://doi.org/10.1051/0004-6361/202244911</a>

Nitrate and dissolved trace metal data from Mn nodule reduction experiments under anoxic conditions

The uploaded dataset includes nitrate and dissolved trace metal (Mn, Cd, Co, Cu, Fe, Mn, Ni, Pb, Sc, and Zn) data from laboratory incubation experiments using crushed Mn nodules under anoxic conditions. Please refer to our submitted paper for more details about data interpretations.

Tracing the future of epidemics: Coincident niche distribution of host animals and disease incidence revealed climate-correlated risk shifts of main zoonotic diseases in China

This dataset contains host occurrence data from NACRC database and disease incidence data for the paper "Tracing the future of epidemics: Coincident niche distribution of host animals and disease incidence revealed climate-correlated risk shifts of main zoonotic diseases in China".

TRACE-Omicron Policy Counterfactuals Simulation Data

This repository contains the simulation data for the Policy Counterfactuals in the study in "TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States" published in Advanced Theory and Simulations (doi:10.1002/adts.202300147)

TRACE-Omicron: Epidemiological Counterfactuals; Tractable Strain

This repository contains the simulation data corresponding to the Epidemiological Counterfactuals under the Tractable Strain baseline scenario in "TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States" published in Advanced Theory and Simulations (doi:10.1002/adts.202300147)

TRACE-Omicron: Epidemiological Counterfactuals; Best Calibration Fit

This repository contains the simulation data corresponding to the Epidemiological Counterfactuals under the Best Calibration Fit baseline scenario in "TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States" published in Advanced Theory and Simulations (doi:10.1002/adts.202300147)

TRACE-Omicron: Epidemiological Counterfactuals; High Immune Escape

This repository contains the simulation data corresponding to the Epidemiological Counterfactuals under the High Immune Escape baseline scenario in "TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States" published in Advanced Theory and Simulations (doi:10.1002/adts.202300147)

opencc-by-4.0May 2023View details →

Memory Traces for the CXL-flash Simulator

This dataset contains memory trace files (*.trace) for various synthetic workloads and real-world workloads. We utilize <a href="https://github.com/dgist-datalab/trace_generator.git">Trace Generator</a> to collect traces for these workloads and translate them into *.trace files We collected these traces on a machine with an Intel i7-9700 CPU and 32GB DDR4 DRAM Memory. The operating system utilized is Ubuntu 20.04.5 LTS with Linux Kernel 5.17.4. The real-world workloads include: <ul> <li>BERT</li> <li>Page rank (GAPBS)</li> <li>Radiosity (Splash-3)</li> <li>XZ (Spec CPU)</li> <li>YCSB F</li> </ul> Users can find the source codes of the real-world workloads from their original code bases.

opencc-by-4.0May 2023View details →

Figure S2. Spearman correlation matrix representing the relationships between the essential trace elements within each biological matrix

Blue represents a positive correlation, while red represents a negative correlation. Color intensity is proportional to the correlation strength. Strikethrough values represent insignificant/negligible associations (p>0.05). Cr, chromium; Cu, copper; Fe, iron; Li, lithium; Mn, manganese; Mo, molybdenum; Se, selenium; Zn, zinc

opencc-by-4.0Jun 2023View details →

Reproduction package for the paper "Expanding the inventory of spectral lines used to trace atmospheric escape in exoplanets"

This is a basic reproduction package for the paper "Expanding the inventory of spectral lines used to trace atmospheric escape in exoplanets" by Linssen & Oklopčić (2023). It provides the full transmission spectra of all simulations presented in the paper, as well as the data products necessary to reproduce the figures of the paper.