Find research datasets worth reusing

opencc-zeroJun 2024View details →

Dataset: Ascent Solar Technologies, Inc. (ASTI) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →

Dataset: Ascent Industries Co. (ACNT) Stock Performance

opencc-zeroJun 2024View details →

Dataset: Ascent Industries Co. (ACNT) Stock Performance

opencc-by-4.0Apr 2018View details →

Is the Gaze Behavior During Stair Walking Affected by Pregnancy?-Figure 2. Eye-tracking glasses image showing the gaze location during stair ascent

At each data collection, participants walked the same U-shaped staircase descending a 22- treads (riser: 0.16 m, run: 0.33 m, and width: 1.15 m), making a short U-turn downstairs and ascending back the staircase, one tread at a time (Figure 1). Only the data of stair walking were taken for further analysis. The staircase was equipped with a handrail on one side but none of the participants used it. To monitor the gaze a SensoMotoric Instruments (SMI) eye-tracking glasses (ETG) system (SMI, Inc.) at a frequency of 60 frames per second and 1280x960 pixel picture was used. Calibration was performed using a matrix of 3 points placed on a board in different highs and different horizontal placement. Mean gaze vectors of the right eye (x, y, z) for stair descent and stair ascent were obtained for each data collection session. Gaze vector x, y, z starts at the eye and heads off in mediolateral, up and down, and anterior-posterior direction, respectively (Figure 2) (Haffegee, Alexandrov, & Barrow, 2007; Scheel, & Staadt, 2015).

opencc-by-4.0Aug 2024View details →

Data produced and used in the publication "Modelling chemical advection during magma ascent" by Dominguez et al., 2024.

Data produced by the numerical models used for the study titled "Modelling chemical advection during magma ascent", by Dominguez et al., 2024. The code used to produce the data is available at https://zenodo.org/records/12624639. Each file contains the data of one numerical model store as HDF5, with 4 timesteps and the initial conditions.

Fig. 1 in Diel variation in the ascent of fishes up an experimental fish ladder at Itaipu Reservoir: fish size, reproductive stage and taxonomic group influences

Fig. 1. The experimental fish ladder located at Itaipu Dam. Sampling stations are indicated in the figure (A = box A; B = box B).

Fig. 6 in Environmental factors related to entry into and ascent of fish in the experimental ladder located close to Itaipu Dam

Fig. 6. Temporal variability (a) and correlogram of total abundance (b) of small-sized fish recorded in the experimental fish ladder (Pool A = 10 m, Pool B = 27 m) located near Itaipu Dam.

Fig. 3 in Environmental factors related to entry into and ascent of fish in the experimental ladder located close to Itaipu Dam

Fig. 3. Monthly variations in abundance of the main middle- and large-sized species in the experimental fish ladder (Pool A = 10 m, Pool B = 27 m) located near Itaipu Dam.

Fig. 2 in Environmental factors related to entry into and ascent of fish in the experimental ladder located close to Itaipu Dam

Fig. 2. Abundance of the main middle- and large-sized species of fish captured in the samples taken in the experimental fish ladder located near Itaipu Dam. The first three letters of each species (found in text) are shown.

Fig. 4 in Diel variation in the ascent of fishes up an experimental fish ladder at Itaipu Reservoir: fish size, reproductive stage and taxonomic group influences

Fig. 4. Diel variation in the abundance of Characiformes and Siluriformes sampled at box A (10 m height; closed circles) and B (27 m height; open circles) in the ladder.

Fig. 1 in Environmental factors related to entry into and ascent of fish in the experimental ladder located close to Itaipu Dam

Fig. 1. Variation in temperature, river level, spillway discharge (SD) and turbine discharge (TD) at the experimental ladder located near Itaipu Dam, during the sampling period (a) and correlogram of the variables (b).

Fig. 5 in Environmental factors related to entry into and ascent of fish in the experimental ladder located close to Itaipu Dam

Fig. 5. Correlograms of the residuals of the autoregressive models applied (VV: spillway discharge; VT: turbine discharge) to the data collected in the experimental ladder located near Itaipu Dam.

Fig. 3 in Diel variation in the ascent of fishes up an experimental fish ladder at Itaipu Reservoir: fish size, reproductive stage and taxonomic group influences

Fig. 3. Diel variation in the number of individuals of the five main species, sampled at two different points in the ladder (Box A and B). Reproductive stages: non-reproductive adults (nrd), mature (rd), and immature (imt). Species: (a) Prochilodus lineatus; (b) Pimelodus maculatus; (c) Leporinus obtusidens; (d) Schizodon borellii; (e) Leporinus friderici.

Fig. 2 in Diel variation in the ascent of fishes up an experimental fish ladder at Itaipu Reservoir: fish size, reproductive stage and taxonomic group influences

Fig. 2. Variation in mean standard length of the most abundant species recorded in the fish ladder (box A = 10 m; box B = 27 m).

opencc-by-4.0Dec 2020View details →

Chang'e 5 Lunar Ascent

The ascent from the lunar surface of the Chinese Chang'e 5 lunar sample return mission was observed by radio. This dataset presents a recording of the X-band radio signal of the Chang'e 5 ascent module, which transmits at 8463.75 MHz. These recording were obtained from Roberts Creek, Canada, at latitude 49.4348N deg, longitude 123.668W deg, height 40 m. The ascent from the lunar surface occurred at 2020-12-03T15:10:24, data from the ascent module sitting on the lunar surface starts the recordings. A 66 cm parabolic dish was used to receive the X-band transmissions. System performance is estimated to be 66 cm @ 50% illumination at 8.43 GHz is 32.3 dBi. 136K is 21.3 dBK. G/T = +11 dB/K. approximately. The ‘gqrx_20201203_150513_8463750000_200000_fc.raw’ dataset consists of complex sampled (IQ) 32 bit floating point values (interleaved real/imaginary), sampled at 2 Msps at a centre frequency of 8463.75 MHz. This dataset begins at 2020-12-03T15:05:13 UTC.  The RF system was locked to a GPS disciplined oscillator. NOTE: near the end of this data set there is a brief period where the receiver is knocked off frequency that can be seen in the step divergence from the trend in the data. The receiver is re-tuned to proper tuning and the trend can be seen to continue. The second data set ‘2020-12-03_ce5_lunar_launch.zip’ is dynamic spectra of signal recorded on a different receiver connected to the same RF path is also provided. These are averaged to 100Hz frequency resolution and 1 second time resolution and stored as 32 bit floating point values. Each spectrum of 20000 channels is preceded by a human readable header of 256 bytes, providing metadata. No discontinuities are known in the second dataset. Timestamps in UTC are embedded in the file.

opencc-by-4.0Feb 2022View details →

Stable Water Isotopes in Fresh Snow Along 2 Slopes in the canton of Grisons/Graubünden, Switzerland: the "Chruez", Praettigau and Eastward ascent to the Vilan Peak

This bachelor thesis concerned itself with the composition of \(\delta\)2H (or deuterium), \(\delta\)18O and \(\delta\)17O in fresh snow. Stable water isotopes have been proven to be useful tracers for hydrological processes, such as air mass sources of regional precipitation or the residence time of snowmelt in a catchment (Beria et al., 2018). Whereas different isotopic compositions of precipitation in the form of rain is well documented for different environments in networks such as the NISOT (The Swiss National Network for the Observation of Isotopes in the Water Cycle), the same knowledge about snow is more limited due to the influences of different isotope fractionation processes and lack of onsite snow accumulation and melt observation (Cooper, 1998; Michelon et al., 2018). The aim of this thesis was therefore to analyse and characterize the spatial variability of \(\delta\)2H, \(\delta\)18O and \(\delta\)17O in freshly fallen snow. This was done by sampling fresh snow on six different snowfall events in the month of March over an elevation gradient of 1000m along the southside slope of the mountain Chruez. 2H throughout four sampling days had \(\delta\)-values ranging from −50&permil; to −70&permil;, with two days being more depleted in 2H, showing \(\delta\)-values from −80&permil; down to −160&permil;. \(\delta\)18O showed the same pattern where of six, four days showed similar -values ranging from −8&permil; to −12&permil; and two days with a stronger depletion of the isotope with \(\delta\)-values ranging from −14&permil; to −20&permil;. It is known that the enrichment of \(\delta\)17O in a water molecule is about half of \(\delta\)18O, which was also seen in the results of this thesis (Nyamgerel et.al, 2021). In this thesis, two out of six sampling days were examined with statistically significant positive altitude gradients of 0.19&permil;/100m and 0.64&permil;/100m for \(\delta\)18O. Additionally, on one of the six sampling days, a statistically significant negative altitude gradient of −0.15&permil;/100m was observed. The altitude gradients for \(\delta\)17O were about half of \(\delta\)18O. Two statistically significant positive and one negative altitude gradients for \(\delta\)2H were observed during the same days with lapse rates of 1.7&permil;/100m, 5.5&permil;/100m and −1.25&permil;/100m. Having both positive and negative altitude gradients was attributed to the varying amounts of solar radiation and wind direction during different sampling days. However, further research must be done in order to make a valid statement, since additional factors such as water vapor pressure, turbulent fluxes in the air and relative humidity strongly affect fractionation of stable water isotopes. The aim of this work is to characterize and analyze the elevation effect of water isotopologues in fresh snow at Vilan. By analyzing fresh snow, the influence of fractionation processes, after the precipitation event can be minimized and helps the understanding of snow-melt water transformation. For this purpose, a total of five fresh snow events in March and April 2021 were analyzed. Samples were taken from the eastern slope of Vilan between 1100 m a.s.l. and 2300 m a.s.l. and were collected at 100-meter elevation intervals. The altitude effect was determined with a linear regression. The analysis shows that the altitude has only a small effect on the d-values of the new snow, because for the \(\delta\)18O only one snow event shows a statistically significant altitude effect. For the \(\delta\)2H, it is their two. The statistically significant new snow events show an elevation gradient of + 0.155 &permil; \(\delta\)18O/100 m and + 1.211 &permil; \(\delta\)2H/100 m and + 0.677 &permil; \(\delta\)2H/100 m, respectively. The observed positive gradients can be explained by four effects. First, a lee effect is likely due to the prevailing weather conditions. Second, the top snow layer accumulates heavy isotopologues with increasing time (time effect). Third, an inverse height effect can be observed when water vapor of different origins mixes. Fourth, the amount of precipitation (quantity effect) can have an impact on isotopic composition. The work shows that further research in the analysis of water isotopes in fresh snow is necessary to better identify and quantify possible influencing parameters.

opencc-by-4.0Oct 2017View details →

The Generation of Barriers to Melt Ascent in the Martian Lithosphere: MELTS calculations

MELTS input and output datafiles for "The Generation of Barriers to Melt Ascent in the Martian Lithosphere." Each zip file corresponds to one dataset with an oxygen fugacity setting and water content. Each data set is organized first by lithosphere thickness, then mantle potential temperature. PTpath.txt is the text file read by MELTS to create the geotherm P-T path in the crystallization calculation. Residue.melts is the Residual solid composition after the melting calculation. Liquid.melts is the liquid composition that enters the crystallization calculation. PBRate.txt is a two column text file which is a record of crystallization rate with depth. Peaks.txt records peaks in the crystallization rate with depth. We originally picked the level of the permeability barrier as the largest peak of crystallization rate, but we changed our methodology significantly. Peaks.txt is an artifact of this older method. See the paper for a detailed description of permeability barrier depth selection. The output_1 folder contains the MELTS output files for the decompression melting calculation. The output_2 folder contains the MELTS output files for the crystallization in the lithosphere calculation. Associated MATLAB functions for this work can be found here: https://github.com/joeschools/Mars_PB

opencc-by-4.0Jun 2021View details →

Pedestrian single file movement on stairway: Investigating the impact of stair construct on pedestrian ascent and descent fundamental diagram

Pedestrian single-file movement on stairs